{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Vertex Solutions team\n\nPREVIOUS ASSISTANT: null\nUSER: Have you heard about TypeScript? I'm curious about it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Learning TypeScript\"}, \"entities\": [{\"id\": \"typescript\", \"label\": \"TypeScript\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: null\nUSER: What happened to Baron Harkonnen after the battle?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Work\n\nPREVIOUS ASSISTANT: I've updated the information.\nUSER: Bye!"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"berlin\", \"label\": \"Berlin\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: By the way, works as a lawyer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"raj_kapoor\", \"text\": \"Works as a lawyer\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: What happened to Frodo Baggins after the battle?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"linear_algebra\", \"label\": \"Linear Algebra\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Machine Learning course\n\nPREVIOUS ASSISTANT: null\nUSER: Oh yeah, published a paper on overfitting."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"prof_zhang\", \"text\": \"Published a paper on overfitting\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: null\nUSER: Quick update on Forge: Using version 14.1."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"angular\", \"text\": \"Using version 14.1\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Lord of the Rings, Chapter 13:\n\nSamwise Gamgee travels to Rivendell where they encounter Gollum. A conflict arises when a betrayal is revealed. Samwise Gamgee must decide whether to flee."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Lord of the Rings\"}, \"entities\": [{\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_13_conflict\", \"label\": \"Chapter 13 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at Rivendell\", \"temporal_marker\": \"Chapter 13\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"samwise\", \"target\": \"chapter_13_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"gollum\", \"target\": \"chapter_13_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_13_conflict\", \"target\": \"rivendell\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"organic_chemistry\", \"label\": \"Organic Chemistry\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Organic Chemistry course\n\nPREVIOUS ASSISTANT: null\nUSER: Can you explain Big O Notation again?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: null\nUSER: Qué framework usamos en el frontend de Helix?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"bariloche\", \"label\": \"Bariloche\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"reading\", \"label\": \"Reading\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Also, the commute is 32 minutes."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"bariloche\", \"text\": \"The commute is 32 minutes\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's what I found about that.\nUSER: Got it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: What else about Zenith?\nUSER: I want to focus on the notifications module. That's where we have issues."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Zenith notifications\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Work\n\nPREVIOUS ASSISTANT: I've updated the information.\nUSER: Perfecto."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"han_solo\", \"label\": \"Han Solo\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chewbacca\", \"label\": \"Chewbacca\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"palpatine\", \"label\": \"Emperor Palpatine\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"darth_vader\", \"label\": \"Darth Vader\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hoth\", \"label\": \"Hoth\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"tatooine\", \"label\": \"Tatooine\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: null\nUSER: The part where Battle of Yavin happens is incredible. Yoda, Han Solo, Darth Vader are all involved. It takes place at Hoth."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"battle_yavin\", \"label\": \"Battle of Yavin\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Rebel attack on the Death Star\", \"temporal_marker\": \"during the war\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"yoda\", \"target\": \"battle_yavin\", \"relation\": \"participated_in\"}, {\"source\": \"han_solo\", \"target\": \"battle_yavin\", \"relation\": \"participated_in\"}, {\"source\": \"darth_vader\", \"target\": \"battle_yavin\", \"relation\": \"participated_in\"}, {\"source\": \"battle_yavin\", \"target\": \"hoth\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"python_lang\", \"label\": \"Python\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"java_lang\", \"label\": \"Java\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"tailwind\", \"label\": \"Tailwind CSS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"swift_lang\", \"label\": \"Swift\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Beacon development\n\nPREVIOUS ASSISTANT: null\nUSER: Should we consider Supabase instead of Firebase?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Meridian Software\"}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: null\nUSER: We're not using Firebase anymore, we migrated to Angular."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"helix\", \"target\": \"angular\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"helix\", \"text\": \"Migrated from Firebase to Angular\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Let me introduce myself. I'm from Córdoba, my wife Raj Kapoor and I live there. I'm really into guitar."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Personal life\"}, \"entities\": [{\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's wife\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"cordoba_ar\", \"label\": \"Córdoba\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"guitar\", \"label\": \"Guitar\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"raj_kapoor\", \"target\": \"cordoba_ar\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: This semester I'm enrolled in Machine Learning. Professor Smith is teaching it. So far we've covered Transformer Architecture."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Machine Learning course\"}, \"entities\": [{\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_smith\", \"label\": \"Professor Smith\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"transformer_arch\", \"target\": \"machine_learning\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: null\nUSER: What's the deploy process for Zenith?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Ironforge team\n\nPREVIOUS ASSISTANT: null\nUSER: Update: David Kim moved to the full-stack developer position."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"david_kim\", \"text\": \"Now works as full-stack developer\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: I need to talk about Echo. We're building this task manager for NovaTech. The stack is FastAPI, Nuxt, and Supabase. Lisa Wong just joined the team as DevOps engineer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Echo development\"}, \"entities\": [{\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"echo_app\", \"target\": \"novatech\", \"relation\": \"part_of\"}, {\"source\": \"echo_app\", \"target\": \"nuxt\", \"relation\": \"uses_technology\"}, {\"source\": \"echo_app\", \"target\": \"fastapi\", \"relation\": \"uses_technology\"}, {\"source\": \"echo_app\", \"target\": \"supabase_db\", \"relation\": \"uses_technology\"}, {\"source\": \"lisa_wong\", \"target\": \"novatech\", \"relation\": \"works_at\"}, {\"source\": \"lisa_wong\", \"target\": \"echo_app\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: Anything else about Compass?\nUSER: Bueno, cambiando de tema. Fui a New York el finde. Increíble."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"new_york\", \"label\": \"New York\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"sydney\", \"label\": \"Sydney\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"photography\", \"label\": \"Photography\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: I should mention my husband Julia Santos."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's husband\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"julia_santos\", \"target\": \"sydney\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: I've been reading Lord of the Rings. The main characters so far are Sauron, Legolas. The story takes place in Mordor."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Lord of the Rings\"}, \"entities\": [{\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"sauron\", \"target\": \"mordor\", \"relation\": \"located_in\"}, {\"source\": \"legolas\", \"target\": \"mordor\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Some project\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: Great."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aragorn\", \"label\": \"Aragorn\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"the_shire\", \"label\": \"The Shire\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: What else about Lord of the Rings?\nUSER: So in the book, motivation is to save the world."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"gandalf\", \"text\": \"Motivation is to save the world\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's a summary of the paper:\nUSER: Summary of the paper \"A Survey of PageRank in Organic Chemistry\":\n\nThis paper reviews PageRank and its relationship to Big O Notation. Authors: Professor Kumar. Key finding: reduced complexity."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Organic Chemistry research\"}, \"entities\": [{\"id\": \"a_survey_of_pagerank_in_organic_chemistr\", \"label\": \"A Survey of PageRank in Organic Chemistry\", \"type\": \"document\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"a_survey_of_pagerank_in_organic_chemistr\", \"target\": \"pagerank\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_pagerank_in_organic_chemistr\", \"target\": \"big_o_notation\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_pagerank_in_organic_chemistr\", \"target\": \"gradient_descent\", \"relation\": \"documented_in\"}, {\"source\": \"prof_kumar\", \"target\": \"a_survey_of_pagerank_in_organic_chemistr\", \"relation\": \"created_by\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: null\nUSER: Correction: Alice Chen is now backend developer, not what I said before."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"alice_chen\", \"text\": \"Now works as backend developer\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: null\nUSER: So the hero finally confronted the enemy."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_hero\", \"label\": \"The Hero\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"jessica\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Ironforge team\n\nPREVIOUS ASSISTANT: null\nUSER: Carlos Mendez is joining the team as CTO to work on Horizon."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as CTO\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"horizon\", \"target\": \"ironforge\", \"relation\": \"part_of\"}, {\"source\": \"carlos_mendez\", \"target\": \"horizon\", \"relation\": \"maintains\"}, {\"source\": \"carlos_mendez\", \"target\": \"ironforge\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Meridian Software\"}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: null\nUSER: This morning, we did a code review session with Priya Sharma. Reviewed PR for notifications feature."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"code_review\", \"label\": \"Code Review Session\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Reviewed PR for notifications feature\", \"temporal_marker\": \"this morning\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"priya_sharma\", \"target\": \"code_review\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"london\", \"label\": \"London\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"reading\", \"label\": \"Reading\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baking\", \"label\": \"Baking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: By the way, great nightlife."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"london\", \"text\": \"Great nightlife\", \"speaker\": \"user\"}, {\"entity\": \"aisha_patel\", \"text\": \"Works as a engineer\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of BlueShift Labs team (medium confidence — verify)\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: null\nUSER: Let's focus on the client onboarding now."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Client Onboarding\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: null\nUSER: How many people are on the team?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"buenos_aires\", \"label\": \"Buenos Aires\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"cycling\", \"label\": \"Cycling\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: One sec."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"paul_atreides\", \"label\": \"Paul Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: null\nUSER: So the chosen one finally confronted the enemy."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_chosen_one\", \"label\": \"The Chosen One\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"paul_atreides\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Machine Learning course\n\nPREVIOUS ASSISTANT: null\nUSER: I should add that the midterm is in two weeks."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"machine_learning\", \"text\": \"The midterm is in two weeks\", \"speaker\": \"user\"}, {\"entity\": \"eigenvalues\", \"text\": \"Key formula involves integrals\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"aragorn\", \"label\": \"Aragorn\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"the_shire\", \"label\": \"The Shire\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: What's the significance of Rivendell?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"luke_skywalker\", \"label\": \"Luke Skywalker\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"palpatine\", \"label\": \"Emperor Palpatine\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chewbacca\", \"label\": \"Chewbacca\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"han_solo\", \"label\": \"Han Solo\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"darth_vader\", \"label\": \"Darth Vader\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"death_star\", \"label\": \"Death Star\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hoth\", \"label\": \"Hoth\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"coruscant\", \"label\": \"Coruscant\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: null\nUSER: The part where Battle of Hoth happens is incredible. Emperor Palpatine, Obi-Wan Kenobi are all involved. It takes place at Coruscant."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"battle_hoth\", \"label\": \"Battle of Hoth\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Imperial assault on Rebel base\", \"temporal_marker\": \"during the war\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"palpatine\", \"target\": \"battle_hoth\", \"relation\": \"participated_in\"}, {\"source\": \"obi_wan\", \"target\": \"battle_hoth\", \"relation\": \"participated_in\"}, {\"source\": \"battle_hoth\", \"target\": \"coruscant\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: I work at Vertex Solutions. Our main client right now is Skyline Tech. The team includes James O'Brien (backend developer) and Sarah Johnson (designer)."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Vertex Solutions team\"}, \"entities\": [{\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as backend developer\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as designer\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as frontend developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"vertex_solutions\", \"target\": \"skyline_tech\", \"relation\": \"serves\"}, {\"source\": \"james_obrien\", \"target\": \"vertex_solutions\", \"relation\": \"works_at\"}, {\"source\": \"sarah_johnson\", \"target\": \"vertex_solutions\", \"relation\": \"works_at\"}, {\"source\": \"julia_santos\", \"target\": \"vertex_solutions\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: NovaTech team\n\nPREVIOUS ASSISTANT: null\nUSER: La empresa consiguió nueva financiación."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"la_empresa\", \"label\": \"La Empresa\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"novatech\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Beacon development\n\nPREVIOUS ASSISTANT: null\nUSER: El lunes pasado, we did a planning meeting with Nina Petrov and Omar Hassan and Elena Volkov. Planned the next sprint for Beacon."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"planning_meeting\", \"label\": \"Planning Meeting\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Planned the next sprint for Beacon\", \"temporal_marker\": \"el lunes pasado\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"nina_petrov\", \"target\": \"planning_meeting\", \"relation\": \"participated_in\"}, {\"source\": \"omar_hassan\", \"target\": \"planning_meeting\", \"relation\": \"participated_in\"}, {\"source\": \"elena_volkov\", \"target\": \"planning_meeting\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"linear_algebra\", \"label\": \"Linear Algebra\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"organic_chemistry\", \"label\": \"Organic Chemistry\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Linear Algebra course\n\nPREVIOUS ASSISTANT: null\nUSER: When is the Linear Algebra midterm?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Oh, and my grandfather Lisa Wong lives nearby too."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's grandfather\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"lisa_wong\", \"target\": \"mendoza\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Skyline Tech team\n\nPREVIOUS ASSISTANT: null\nUSER: Let's focus on the team restructure now."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Team Restructure\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Strato. Tech stack: MySQL, Redis, Flask, Next.js. Key contributors: Aisha Patel, James O'Brien, Luca Rossi."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Strato development\"}, \"entities\": [{\"id\": \"strato\", \"label\": \"Strato\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"strato_architecture_doc\", \"label\": \"Strato Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Strato. Tech stack: MySQL, Redis, Flask, Next.js. Key contributors: Aisha P\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"strato\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}, {\"source\": \"strato\", \"target\": \"redis\", \"relation\": \"uses_technology\"}, {\"source\": \"strato\", \"target\": \"flask\", \"relation\": \"uses_technology\"}, {\"source\": \"strato\", \"target\": \"nextjs\", \"relation\": \"uses_technology\"}, {\"source\": \"strato_architecture_doc\", \"target\": \"strato\", \"relation\": \"documented_in\"}, {\"source\": \"aisha_patel\", \"target\": \"strato\", \"relation\": \"maintains\"}, {\"source\": \"james_obrien\", \"target\": \"strato\", \"relation\": \"maintains\"}, {\"source\": \"luca_rossi\", \"target\": \"strato\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Clearpath team\n\nPREVIOUS ASSISTANT: null\nUSER: New project: Apex. Carlos Mendez (full-stack developer) is heading it up."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as full-stack developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"apex\", \"target\": \"clearpath\", \"relation\": \"part_of\"}, {\"source\": \"carlos_mendez\", \"target\": \"apex\", \"relation\": \"maintains\"}, {\"source\": \"carlos_mendez\", \"target\": \"clearpath\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_garcia\", \"label\": \"Professor García\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Microeconomics course\n\nPREVIOUS ASSISTANT: null\nUSER: New topic in Microeconomics: Gradient Descent."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"gradient_descent\", \"target\": \"microeconomics\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Atlas development\n\nPREVIOUS ASSISTANT: I see, Atlas is built with Angular.\nUSER: Just so you know, using version 18.2. Also, has 51140 monthly active users."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"angular\", \"text\": \"Using version 18.2\", \"speaker\": \"user\"}, {\"entity\": \"atlas\", \"text\": \"Has 51140 monthly active users\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Orbit development\n\nPREVIOUS ASSISTANT: Anything else about Orbit?\nUSER: Off topic — have you been to Sydney? I just got back."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"sydney\", \"label\": \"Sydney\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Meridian Software\"}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: Thanks for the context about Forge.\nUSER: Quick update on Forge: Using version 18.7. Has 128 tables. Has 21517 monthly active users."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"angular\", \"text\": \"Using version 18.7\", \"speaker\": \"user\"}, {\"entity\": \"postgresql\", \"text\": \"Has 128 tables\", \"speaker\": \"user\"}, {\"entity\": \"forge\", \"text\": \"Has 21517 monthly active users\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"computer_networks\", \"label\": \"Computer Networks\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Computer Networks course\n\nPREVIOUS ASSISTANT: null\nUSER: I should add that key formula involves matrices."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"pagerank\", \"text\": \"Key formula involves matrices\", \"speaker\": \"user\"}, {\"entity\": \"prof_nakamura\", \"text\": \"Has office hours on Thursdays\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Zenith. Tech stack: Angular, PostgreSQL, Next.js. Key contributors: Nina Petrov, Priya Sharma, Elena Volkov."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Zenith development\"}, \"entities\": [{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"zenith_architecture_doc\", \"label\": \"Zenith Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Zenith. Tech stack: Angular, PostgreSQL, Next.js. Key contributors: Nina Pe\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"zenith\", \"target\": \"angular\", \"relation\": \"uses_technology\"}, {\"source\": \"zenith\", \"target\": \"postgresql\", \"relation\": \"uses_technology\"}, {\"source\": \"zenith\", \"target\": \"nextjs\", \"relation\": \"uses_technology\"}, {\"source\": \"zenith_architecture_doc\", \"target\": \"zenith\", \"relation\": \"documented_in\"}, {\"source\": \"nina_petrov\", \"target\": \"zenith\", \"relation\": \"maintains\"}, {\"source\": \"priya_sharma\", \"target\": \"zenith\", \"relation\": \"maintains\"}, {\"source\": \"elena_volkov\", \"target\": \"zenith\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: null\nUSER: My friend Elena Volkov asked me for help with something."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Helping a friend\"}, \"entities\": [{\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Nova development\n\nPREVIOUS ASSISTANT: null\nUSER: El lunes pasado, we did a planning meeting with Carlos Mendez. Planned the next sprint for Nova."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"planning_meeting\", \"label\": \"Planning Meeting\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Planned the next sprint for Nova\", \"temporal_marker\": \"el lunes pasado\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"carlos_mendez\", \"target\": \"planning_meeting\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Nice."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"python_lang\", \"label\": \"Python\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"go_lang\", \"label\": \"Go\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"typescript\", \"label\": \"TypeScript\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kotlin_lang\", \"label\": \"Kotlin\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: null\nUSER: Should we consider PostgreSQL instead of PostgreSQL?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: null\nUSER: New project: Flux. Elena Volkov (backend developer) is heading it up."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as backend developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"flux\", \"target\": \"acme_corp\", \"relation\": \"part_of\"}, {\"source\": \"elena_volkov\", \"target\": \"flux\", \"relation\": \"maintains\"}, {\"source\": \"elena_volkov\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"dumbledore\", \"label\": \"Albus Dumbledore\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"voldemort\", \"label\": \"Lord Voldemort\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"harry_potter\", \"label\": \"Harry Potter\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogwarts\", \"label\": \"Hogwarts\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: null\nUSER: Enough about Harry Potter. I need to prep for Organic Chemistry."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Organic Chemistry course\"}, \"entities\": [{\"id\": \"organic_chemistry\", \"label\": \"Organic Chemistry\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_garcia\", \"label\": \"Professor García\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"paul_atreides\", \"label\": \"Paul Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: What else about Dune?\nUSER: I noticed that Stilgar — is described as mysterious."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"stilgar\", \"text\": \"Is described as mysterious\", \"speaker\": \"user\"}, {\"entity\": \"arrakis\", \"text\": \"Is described as ancient\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Mi wife quiere ir al parque el fin de semana."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"my_wife\", \"label\": \"My Wife\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"carlos_mendez\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: Got it, so Apex uses Rails and Next.js.\nUSER: Ah, me olvidé de decirte: using version 18.9."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"nextjs\", \"text\": \"Using version 18.9\", \"speaker\": \"user\"}, {\"entity\": \"apex\", \"text\": \"The team has 7 developers\", \"speaker\": \"user\"}, {\"entity\": \"raj_kapoor\", \"text\": \"Is responsible for the auth module\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Beacon development\n\nPREVIOUS ASSISTANT: null\nUSER: I need to plan a trip to Mendoza."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel planning\"}, \"entities\": [{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"go_lang\", \"label\": \"Go\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"java_lang\", \"label\": \"Java\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"swift_lang\", \"label\": \"Swift\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kotlin_lang\", \"label\": \"Kotlin\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: null\nUSER: Me recordás qué base de datos usa Apex?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: My wife said we should go to the park this weekend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"my_wife\", \"label\": \"My Wife\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"yuki_tanaka\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Work\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: Thanks for the help!"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"strato\", \"label\": \"Strato\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Strato development\n\nPREVIOUS ASSISTANT: Thanks for the context about Strato.\nUSER: Just so you know, the team has 10 developers. Also, has 222 tables."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"strato\", \"text\": \"The team has 10 developers\", \"speaker\": \"user\"}, {\"entity\": \"firebase_db\", \"text\": \"Has 222 tables\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: Tell me more about Dune.\nUSER: I just got to the part where Duke Leto Atreides shows up. Seems connected to Stilgar."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"leto_atreides\", \"label\": \"Duke Leto Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"leto_atreides\", \"target\": \"stilgar\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Data Structures course\n\nPREVIOUS ASSISTANT: null\nUSER: New topic in Data Structures: Turing Machine."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"turing_machine\", \"target\": \"data_structures\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Skyline Tech team\n\nPREVIOUS ASSISTANT: Tell me more about Skyline Tech.\nUSER: I should mention that is leading the q1 initiative."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"julia_santos\", \"text\": \"Is leading the Q1 initiative\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nMeeting notes for Prism sprint planning. Attendees: Elena Volkov, Luca Rossi. Discussed migration to Django."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Prism development\"}, \"entities\": [{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prism_meeting_notes\", \"label\": \"Prism Meeting Notes\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Meeting notes for Prism sprint planning. Attendees: Elena Volkov, Luca Rossi. Discussed migration to\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"prism\", \"target\": \"django\", \"relation\": \"uses_technology\"}, {\"source\": \"prism\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}, {\"source\": \"prism_meeting_notes\", \"target\": \"prism\", \"relation\": \"documented_in\"}, {\"source\": \"elena_volkov\", \"target\": \"prism\", \"relation\": \"maintains\"}, {\"source\": \"luca_rossi\", \"target\": \"prism\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Nova development\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, we switched from React to Spring Boot for the frontend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"nova\", \"target\": \"spring_boot\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"nova\", \"text\": \"Migrated frontend from React to Spring Boot\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: I need to talk about Horizon. We're building this payment gateway for Ironforge. The stack is FastAPI, Vue, and MySQL. Sarah Johnson just joined the team as CTO."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Horizon development\"}, \"entities\": [{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"horizon\", \"target\": \"ironforge\", \"relation\": \"part_of\"}, {\"source\": \"horizon\", \"target\": \"vue\", \"relation\": \"uses_technology\"}, {\"source\": \"horizon\", \"target\": \"fastapi\", \"relation\": \"uses_technology\"}, {\"source\": \"horizon\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}, {\"source\": \"sarah_johnson\", \"target\": \"ironforge\", \"relation\": \"works_at\"}, {\"source\": \"sarah_johnson\", \"target\": \"horizon\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: Tell me more about Acme Corp.\nUSER: Ah, has 422 employees."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"acme_corp\", \"text\": \"Has 422 employees\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Pulse development\n\nPREVIOUS ASSISTANT: null\nUSER: My friend Aisha Patel asked me for help with something."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Helping a friend\"}, \"entities\": [{\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"onyx\", \"label\": \"Onyx\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: NovaTech team\n\nPREVIOUS ASSISTANT: Tell me more about NovaTech.\nUSER: I should mention that revenue grew 25% last quarter."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"novatech\", \"text\": \"Revenue grew 25% last quarter\", \"speaker\": \"user\"}, {\"entity\": \"yuki_tanaka\", \"text\": \"Is leading the Q4 initiative\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"strato\", \"label\": \"Strato\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: Let's focus on the Q3 budget now."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Q3 Budget\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"sydney\", \"label\": \"Sydney\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"guitar\", \"label\": \"Guitar\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: My partner said we should go to the park this weekend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"my_partner\", \"label\": \"My Partner\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"omar_hassan\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, I'm part of the team at BlueShift Labs. We have a client called Vertex Solutions. Key people: David Kim is SRE, Ahmed Farid is product manager."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"BlueShift Labs team\"}, \"entities\": [{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as SRE\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as product manager\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as QA engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"blueshift_labs\", \"target\": \"vertex_solutions\", \"relation\": \"serves\"}, {\"source\": \"david_kim\", \"target\": \"blueshift_labs\", \"relation\": \"works_at\"}, {\"source\": \"ahmed_farid\", \"target\": \"blueshift_labs\", \"relation\": \"works_at\"}, {\"source\": \"thomas_muller\", \"target\": \"blueshift_labs\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Vertex development\n\nPREVIOUS ASSISTANT: null\nUSER: We're not using Supabase anymore, we migrated to Rails."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"vertex_app\", \"target\": \"rails\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"vertex_app\", \"text\": \"Migrated from Supabase to Rails\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Lord of the Rings, Chapter 2:\n\nGimli travels to Minas Tirith where they encounter Gollum. A conflict arises when a mysterious artifact is revealed. Gimli must decide whether to fight."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Lord of the Rings\"}, \"entities\": [{\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_2_conflict\", \"label\": \"Chapter 2 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at Minas Tirith\", \"temporal_marker\": \"Chapter 2\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"gimli\", \"target\": \"chapter_2_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"gollum\", \"target\": \"chapter_2_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_2_conflict\", \"target\": \"minas_tirith\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Nexus development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Nexus.\nUSER: Sumamos TypeScript al stack, y James O'Brien se unió como QA engineer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"typescript\", \"label\": \"TypeScript\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as QA engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"nexus\", \"target\": \"typescript\", \"relation\": \"uses_technology\"}, {\"source\": \"james_obrien\", \"target\": \"nexus\", \"relation\": \"maintains\"}, {\"source\": \"james_obrien\", \"target\": \"skyline_tech\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Beacon development\n\nPREVIOUS ASSISTANT: null\nUSER: We had a production deploy two days ago. Luca Rossi, Julia Santos, Elena Volkov were there. Deployed Beacon v4.4 to production."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"production_deploy\", \"label\": \"Production Deploy\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Deployed Beacon v4.4 to production\", \"temporal_marker\": \"two days ago\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"luca_rossi\", \"target\": \"production_deploy\", \"relation\": \"participated_in\"}, {\"source\": \"julia_santos\", \"target\": \"production_deploy\", \"relation\": \"participated_in\"}, {\"source\": \"elena_volkov\", \"target\": \"production_deploy\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Ironforge team\n\nPREVIOUS ASSISTANT: null\nUSER: What's the budget for the Pinnacle Digital project?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Prism development (medium confidence — verify)\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: What else about Prism?\nUSER: I want to focus on the deployment module. That's where we have issues."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Prism deployment\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Arrancamos Horizon en Vertex Solutions. Es una sistema de inventario. Vamos con Flask, Vue y Firebase. Carlos Mendez maneja el frontend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Horizon development\"}, \"entities\": [{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"horizon\", \"target\": \"vertex_solutions\", \"relation\": \"part_of\"}, {\"source\": \"horizon\", \"target\": \"vue\", \"relation\": \"uses_technology\"}, {\"source\": \"horizon\", \"target\": \"flask\", \"relation\": \"uses_technology\"}, {\"source\": \"horizon\", \"target\": \"firebase_db\", \"relation\": \"uses_technology\"}, {\"source\": \"carlos_mendez\", \"target\": \"vertex_solutions\", \"relation\": \"works_at\"}, {\"source\": \"carlos_mendez\", \"target\": \"horizon\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Clearpath team\n\nPREVIOUS ASSISTANT: Tell me more about Clearpath.\nUSER: Ah, has 180 employees."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"clearpath\", \"text\": \"Has 180 employees\", \"speaker\": \"user\"}, {\"entity\": \"skyline_tech\", \"text\": \"Been a client for 3 years\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Skyline Tech team\n\nPREVIOUS ASSISTANT: null\nUSER: El lead se toma vacaciones."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_team_lead\", \"label\": \"The Team Lead\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"luca_rossi\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Pulse development\n\nPREVIOUS ASSISTANT: Anything else about Pulse?\nUSER: Switching gears — I went to Berlin last weekend. Amazing trip."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"berlin\", \"label\": \"Berlin\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Quantum Physics course\n\nPREVIOUS ASSISTANT: null\nUSER: I should add that has office hours on mondays."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"prof_williams\", \"text\": \"Has office hours on Mondays\", \"speaker\": \"user\"}, {\"entity\": \"eigenvalues\", \"text\": \"Key formula involves matrices\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's a summary of the paper:\nUSER: Summary of the paper \"A Survey of Attention Mechanism in Quantum Physics\":\n\nThis paper reviews Attention Mechanism and its relationship to Eigenvalues. Authors: Professor Zhang, Professor Nakamura. Key finding: improved accuracy by 15%."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Quantum Physics research\"}, \"entities\": [{\"id\": \"a_survey_of_attention_mechanism_in_quant\", \"label\": \"A Survey of Attention Mechanism in Quantum Physics\", \"type\": \"document\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"a_survey_of_attention_mechanism_in_quant\", \"target\": \"attention_mechanism\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_attention_mechanism_in_quant\", \"target\": \"eigenvalues\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_attention_mechanism_in_quant\", \"target\": \"turing_machine\", \"relation\": \"documented_in\"}, {\"source\": \"prof_zhang\", \"target\": \"a_survey_of_attention_mechanism_in_quant\", \"relation\": \"created_by\"}, {\"source\": \"prof_nakamura\", \"target\": \"a_survey_of_attention_mechanism_in_quant\", \"relation\": \"created_by\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: I've updated the information.\nUSER: Bye!"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: What else about Lord of the Rings?\nUSER: So in the book, motivation is to protect friends."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"gimli\", \"text\": \"Motivation is to protect friends\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Nexus development\n\nPREVIOUS ASSISTANT: null\nUSER: Our UI library is a version behind."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_frontend_framework\", \"label\": \"The Frontend Framework\", \"type\": \"technology\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"angular\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's a summary of the paper:\nUSER: Summary of the paper \"A Survey of Attention Mechanism in Organic Chemistry\":\n\nThis paper reviews Attention Mechanism and its relationship to Overfitting. Authors: Professor Nakamura, Professor Kumar. Key finding: state-of-the-art results."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Organic Chemistry research\"}, \"entities\": [{\"id\": \"a_survey_of_attention_mechanism_in_organ\", \"label\": \"A Survey of Attention Mechanism in Organic Chemistry\", \"type\": \"document\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"a_survey_of_attention_mechanism_in_organ\", \"target\": \"attention_mechanism\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_attention_mechanism_in_organ\", \"target\": \"overfitting\", \"relation\": \"documented_in\"}, {\"source\": \"prof_nakamura\", \"target\": \"a_survey_of_attention_mechanism_in_organ\", \"relation\": \"created_by\"}, {\"source\": \"prof_kumar\", \"target\": \"a_survey_of_attention_mechanism_in_organ\", \"relation\": \"created_by\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"guitar\", \"label\": \"Guitar\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: Awesome."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"cordoba_ar\", \"label\": \"Córdoba\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Mi son quiere ir al parque el fin de semana."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"my_son\", \"label\": \"My Son\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"priya_sharma\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Beacon development\n\nPREVIOUS ASSISTANT: Thanks for the context about Beacon.\nUSER: Quick update on Beacon: Is responsible for the payments module. Has been on the project for 15 months. Has 96817 monthly active users."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"maria_rodriguez\", \"text\": \"Is responsible for the payments module\", \"speaker\": \"user\"}, {\"entity\": \"maria_rodriguez\", \"text\": \"Has been on the project for 15 months\", \"speaker\": \"user\"}, {\"entity\": \"beacon\", \"text\": \"Has 96817 monthly active users\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Flux development\n\nPREVIOUS ASSISTANT: null\nUSER: The frontend framework needs an update."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"our_ui_library\", \"label\": \"Our Ui Library\", \"type\": \"technology\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"vue\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: null\nUSER: Moving on from work — I just started reading Lord of the Rings."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Lord of the Rings\"}, \"entities\": [{\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: What's the budget for the BlueShift Labs project?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"calculus\", \"label\": \"Calculus\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"operating_systems\", \"label\": \"Operating Systems\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Machine Learning course (medium confidence — verify)\nCURRENT TOPIC: Machine Learning course\n\nPREVIOUS ASSISTANT: null\nUSER: Let's dive deeper into Attention Mechanism. I'm struggling with it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Attention Mechanism\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's a summary of the paper:\nUSER: Summary of the paper \"A Survey of Attention Mechanism in Data Structures\":\n\nThis paper reviews Attention Mechanism and its relationship to PageRank. Authors: Professor Kumar. Key finding: reduced complexity."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Data Structures research\"}, \"entities\": [{\"id\": \"a_survey_of_attention_mechanism_in_data_\", \"label\": \"A Survey of Attention Mechanism in Data Structures\", \"type\": \"document\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"a_survey_of_attention_mechanism_in_data_\", \"target\": \"attention_mechanism\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_attention_mechanism_in_data_\", \"target\": \"pagerank\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_attention_mechanism_in_data_\", \"target\": \"overfitting\", \"relation\": \"documented_in\"}, {\"source\": \"prof_kumar\", \"target\": \"a_survey_of_attention_mechanism_in_data_\", \"relation\": \"created_by\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"buenos_aires\", \"label\": \"Buenos Aires\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Work\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, never mind."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"computer_networks\", \"label\": \"Computer Networks\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Computer Networks course\n\nPREVIOUS ASSISTANT: null\nUSER: I should add that key formula involves derivatives."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"attention_mechanism\", \"text\": \"Key formula involves derivatives\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Meridian Software team\n\nPREVIOUS ASSISTANT: null\nUSER: Have you heard about Vue? I'm curious about it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Learning Vue\"}, \"entities\": [{\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: null\nUSER: Cómo funciona el módulo de pagos en Zenith?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: null\nUSER: Qué framework usamos en el frontend de Apex?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Te cuento del proyecto Compass. Es una servicio de API que estamos armando en Meridian Software. Stack: Express + React, base de datos en MongoDB."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Compass development\"}, \"entities\": [{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"compass\", \"target\": \"meridian_software\", \"relation\": \"part_of\"}, {\"source\": \"compass\", \"target\": \"react\", \"relation\": \"uses_technology\"}, {\"source\": \"compass\", \"target\": \"express\", \"relation\": \"uses_technology\"}, {\"source\": \"compass\", \"target\": \"mongodb\", \"relation\": \"uses_technology\"}, {\"source\": \"raj_kapoor\", \"target\": \"meridian_software\", \"relation\": \"works_at\"}, {\"source\": \"raj_kapoor\", \"target\": \"compass\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"london\", \"label\": \"London\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Some project\n\nPREVIOUS ASSISTANT: Here's what I found about that.\nUSER: I see."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Prism.\nUSER: We also added Bootstrap to the stack, and Carlos Mendez just joined as product manager."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"bootstrap\", \"label\": \"Bootstrap\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as product manager\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"prism\", \"target\": \"bootstrap\", \"relation\": \"uses_technology\"}, {\"source\": \"carlos_mendez\", \"target\": \"prism\", \"relation\": \"maintains\"}, {\"source\": \"carlos_mendez\", \"target\": \"ironforge\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: What else about Helix?\nUSER: Enfoquémonos en el módulo de notifications."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Helix notifications\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"photography\", \"label\": \"Photography\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cycling\", \"label\": \"Cycling\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Volvamos al trabajo. Necesito armar Flux con React."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Flux development\"}, \"entities\": [{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"flux\", \"target\": \"react\", \"relation\": \"uses_technology\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, the project is called Pulse now, we rebranded."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"compass\", \"text\": \"Was recently rebranded\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: We had a quarterly review yesterday with David Kim and Carlos Mendez. Reviewed performance and set goals."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"quarterly_review\", \"label\": \"Quarterly Review\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Reviewed performance and set goals\", \"temporal_marker\": \"yesterday\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"david_kim\", \"target\": \"quarterly_review\", \"relation\": \"participated_in\"}, {\"source\": \"carlos_mendez\", \"target\": \"quarterly_review\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"operating_systems\", \"label\": \"Operating Systems\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Operating Systems course\n\nPREVIOUS ASSISTANT: null\nUSER: Have you heard about Nuxt? I'm curious about it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Learning Nuxt\"}, \"entities\": [{\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"strato\", \"label\": \"Strato\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Vertex Solutions team\n\nPREVIOUS ASSISTANT: null\nUSER: What's Carlos Mendez's role again?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Echo development\n\nPREVIOUS ASSISTANT: null\nUSER: This morning, we did a production deploy with Aisha Patel and James O'Brien and Raj Kapoor. Deployed Echo v4.9 to production."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"production_deploy\", \"label\": \"Production Deploy\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Deployed Echo v4.9 to production\", \"temporal_marker\": \"this morning\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"aisha_patel\", \"target\": \"production_deploy\", \"relation\": \"participated_in\"}, {\"source\": \"james_obrien\", \"target\": \"production_deploy\", \"relation\": \"participated_in\"}, {\"source\": \"raj_kapoor\", \"target\": \"production_deploy\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aragorn\", \"label\": \"Aragorn\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: What would you like to know about Lord of the Rings?\nUSER: What about Gollum's motivations? Let's explore that."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Gollum's character\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"new_york\", \"label\": \"New York\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"baking\", \"label\": \"Baking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"photography\", \"label\": \"Photography\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: When did I say I started knitting?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yoga\", \"label\": \"Yoga\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: We had graduation last month. Alice Chen and Carlos Mendez were there. Ceremony at the local university."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"graduation\", \"label\": \"Graduation\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Ceremony at the local university\", \"temporal_marker\": \"last month\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"alice_chen\", \"target\": \"graduation\", \"relation\": \"participated_in\"}, {\"source\": \"carlos_mendez\", \"target\": \"graduation\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: I'm taking Machine Learning this semester with Professor Zhang. We just started covering Eigenvalues."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Machine Learning course\"}, \"entities\": [{\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"eigenvalues\", \"target\": \"machine_learning\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's a summary of the paper:\nUSER: Summary of the paper \"A Survey of Backpropagation in Operating Systems\":\n\nThis paper reviews Backpropagation and its relationship to Overfitting. Authors: Professor García, Professor Williams. Key finding: state-of-the-art results."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Operating Systems research\"}, \"entities\": [{\"id\": \"a_survey_of_backpropagation_in_operating\", \"label\": \"A Survey of Backpropagation in Operating Systems\", \"type\": \"document\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_garcia\", \"label\": \"Professor García\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"a_survey_of_backpropagation_in_operating\", \"target\": \"backpropagation\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_backpropagation_in_operating\", \"target\": \"overfitting\", \"relation\": \"documented_in\"}, {\"source\": \"prof_garcia\", \"target\": \"a_survey_of_backpropagation_in_operating\", \"relation\": \"created_by\"}, {\"source\": \"prof_williams\", \"target\": \"a_survey_of_backpropagation_in_operating\", \"relation\": \"created_by\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Vertex development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Vertex.\nUSER: Priya Sharma arrancó esta semana como mobile developer. Y ahora usamos Azure."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as mobile developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"vertex_app\", \"target\": \"azure\", \"relation\": \"uses_technology\"}, {\"source\": \"priya_sharma\", \"target\": \"vertex_app\", \"relation\": \"maintains\"}, {\"source\": \"priya_sharma\", \"target\": \"pinnacle_digital\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: I see, Apex is built with Angular.\nUSER: Ah, me olvidé de decirte: using version 17.4."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"angular\", \"text\": \"Using version 17.4\", \"speaker\": \"user\"}, {\"entity\": \"apex\", \"text\": \"Launched in February 2024\", \"speaker\": \"user\"}, {\"entity\": \"omar_hassan\", \"text\": \"Is responsible for the dashboard module\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, let me tell you about our project Compass. It's a SaaS platform we're building at Harbor Systems. Stack is Flask + Nuxt, Firebase for storage. Sarah Johnson is the tech lead."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Compass development\"}, \"entities\": [{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"compass\", \"target\": \"harbor_systems\", \"relation\": \"part_of\"}, {\"source\": \"compass\", \"target\": \"nuxt\", \"relation\": \"uses_technology\"}, {\"source\": \"compass\", \"target\": \"flask\", \"relation\": \"uses_technology\"}, {\"source\": \"compass\", \"target\": \"firebase_db\", \"relation\": \"uses_technology\"}, {\"source\": \"sarah_johnson\", \"target\": \"harbor_systems\", \"relation\": \"works_at\"}, {\"source\": \"sarah_johnson\", \"target\": \"compass\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: Anything else about Summit?\nUSER: Off topic — have you been to Barcelona? I just got back."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"aragorn\", \"label\": \"Aragorn\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"the_shire\", \"label\": \"The Shire\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Lord of the Rings (medium confidence — verify)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: What would you like to know about Lord of the Rings?\nUSER: Can we analyze Gimli in more detail?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Gimli's character\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"onyx\", \"label\": \"Onyx\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Onyx development\n\nPREVIOUS ASSISTANT: null\nUSER: Our product has been getting good feedback."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"our_product\", \"label\": \"Our Product\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"onyx\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hermione_granger\", \"label\": \"Hermione Granger\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"draco_malfoy\", \"label\": \"Draco Malfoy\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sirius_black\", \"label\": \"Sirius Black\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ministry_of_magic\", \"label\": \"Ministry of Magic\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: null\nUSER: OK, I need to study now. I have Microeconomics with Professor Kumar tomorrow."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Microeconomics course\"}, \"entities\": [{\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, we switched from Vue to Nuxt for the frontend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"compass\", \"target\": \"nuxt\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"compass\", \"text\": \"Migrated frontend from Vue to Nuxt\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: I'm taking Microeconomics this semester with Professor Zhang. We just started covering Gradient Descent."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Microeconomics course\"}, \"entities\": [{\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"gradient_descent\", \"target\": \"microeconomics\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Let me introduce myself. I'm from Berlin, my partner Sarah Johnson and I live there. I'm really into gardening."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Personal life\"}, \"entities\": [{\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's partner\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"berlin\", \"label\": \"Berlin\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"sarah_johnson\", \"target\": \"berlin\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Work\n\nPREVIOUS ASSISTANT: I've updated the information.\nUSER: Listo."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Flux development\n\nPREVIOUS ASSISTANT: What else about Flux?\nUSER: The testing is the next thing I need to figure out."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Flux testing\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"chewbacca\", \"label\": \"Chewbacca\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"darth_vader\", \"label\": \"Darth Vader\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luke_skywalker\", \"label\": \"Luke Skywalker\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"tatooine\", \"label\": \"Tatooine\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"coruscant\", \"label\": \"Coruscant\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"endor\", \"label\": \"Endor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"death_star\", \"label\": \"Death Star\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: What would you like to know about Star Wars?\nUSER: Can we analyze Darth Vader in more detail?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Darth Vader's character\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Nexus development\n\nPREVIOUS ASSISTANT: null\nUSER: Correction: Julia Santos left the company. Thomas Müller replaced them."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"julia_santos\", \"text\": \"Left the company\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, we switched from Angular to React for the frontend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"zenith\", \"target\": \"react\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"zenith\", \"text\": \"Migrated frontend from Angular to React\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chewbacca\", \"label\": \"Chewbacca\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"palpatine\", \"label\": \"Emperor Palpatine\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"han_solo\", \"label\": \"Han Solo\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"darth_vader\", \"label\": \"Darth Vader\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"endor\", \"label\": \"Endor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"coruscant\", \"label\": \"Coruscant\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: What would you like to know about Star Wars?\nUSER: Can we analyze Han Solo in more detail?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Han Solo's character\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_smith\", \"label\": \"Professor Smith\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Machine Learning course\n\nPREVIOUS ASSISTANT: null\nUSER: New topic in Machine Learning: Eigenvalues."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"eigenvalues\", \"target\": \"machine_learning\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Pinnacle Digital team\n\nPREVIOUS ASSISTANT: null\nUSER: The client wants a meeting this week."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_client\", \"label\": \"The Client\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"skyline_tech\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luke_skywalker\", \"label\": \"Luke Skywalker\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"endor\", \"label\": \"Endor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: Tell me more about Star Wars.\nUSER: New character: Leia Organa. They seem to have a history with Yoda."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"leia_organa\", \"target\": \"yoda\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"the_shire\", \"label\": \"The Shire\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: What's the significance of Minas Tirith?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"toronto\", \"label\": \"Toronto\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, we moved to Bariloche last month."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"toronto\", \"text\": \"Relocated to Bariloche\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Horizon development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Horizon.\nUSER: We brought in Sarah Johnson as full-stack developer and started using Azure for the project."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as full-stack developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"horizon\", \"target\": \"azure\", \"relation\": \"uses_technology\"}, {\"source\": \"sarah_johnson\", \"target\": \"horizon\", \"relation\": \"maintains\"}, {\"source\": \"sarah_johnson\", \"target\": \"skyline_tech\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: Here's what I found about that.\nUSER: Hablamos."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bootstrap\", \"label\": \"Bootstrap\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"python_lang\", \"label\": \"Python\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"java_lang\", \"label\": \"Java\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"go_lang\", \"label\": \"Go\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kotlin_lang\", \"label\": \"Kotlin\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: null\nUSER: Who's the tech lead on Prism?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Pulse development\n\nPREVIOUS ASSISTANT: What else about Pulse?\nUSER: The notifications is the next thing I need to figure out."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Pulse notifications\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Orbit development\n\nPREVIOUS ASSISTANT: null\nUSER: The app needs a new feature in the dashboard."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_app\", \"label\": \"The App\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"orbit\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"toronto\", \"label\": \"Toronto\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"woodworking\", \"label\": \"Woodworking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cycling\", \"label\": \"Cycling\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Oh I forgot, birthday is in march."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"raj_kapoor\", \"text\": \"Birthday is in March\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"statistics\", \"label\": \"Statistics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Statistics course\n\nPREVIOUS ASSISTANT: null\nUSER: Professor Nakamura introduced PageRank today. It's connected to what we studied before."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"pagerank\", \"target\": \"statistics\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: null\nUSER: Correction: Priya Sharma is now SRE, not what I said before."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"priya_sharma\", \"text\": \"Now works as SRE\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"organic_chemistry\", \"label\": \"Organic Chemistry\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"statistics\", \"label\": \"Statistics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Organic Chemistry course\n\nPREVIOUS ASSISTANT: null\nUSER: When is the Organic Chemistry midterm?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"sydney\", \"label\": \"Sydney\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"reading\", \"label\": \"Reading\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cycling\", \"label\": \"Cycling\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: My partner is David Kim, they live in Sydney too."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's partner\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"david_kim\", \"target\": \"sydney\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Catalyst development\n\nPREVIOUS ASSISTANT: I see, Catalyst is built with React.\nUSER: Quick update on Catalyst: Using version 15.3. Is responsible for the search module. Has 54 employees."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"react\", \"text\": \"Using version 15.3\", \"speaker\": \"user\"}, {\"entity\": \"nina_petrov\", \"text\": \"Is responsible for the search module\", \"speaker\": \"user\"}, {\"entity\": \"clearpath\", \"text\": \"Has 54 employees\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Te cuento del proyecto Nova. Es una marketplace que estamos armando en NovaTech. Stack: Django + Svelte, base de datos en MongoDB."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Nova development\"}, \"entities\": [{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"nova\", \"target\": \"novatech\", \"relation\": \"part_of\"}, {\"source\": \"nova\", \"target\": \"svelte\", \"relation\": \"uses_technology\"}, {\"source\": \"nova\", \"target\": \"django\", \"relation\": \"uses_technology\"}, {\"source\": \"nova\", \"target\": \"mongodb\", \"relation\": \"uses_technology\"}, {\"source\": \"aisha_patel\", \"target\": \"novatech\", \"relation\": \"works_at\"}, {\"source\": \"aisha_patel\", \"target\": \"nova\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: OK, let's talk about work. I need to set up Helix with Rails."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Helix development\"}, \"entities\": [{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"helix\", \"target\": \"rails\", \"relation\": \"uses_technology\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"london\", \"label\": \"London\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baking\", \"label\": \"Baking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: By the way, birthday is in march."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"raj_kapoor\", \"text\": \"Birthday is in March\", \"speaker\": \"user\"}, {\"entity\": \"raj_kapoor\", \"text\": \"Works as a doctor\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: So we just kicked off Atlas at Acme Corp. It's a task manager. We're going with Flask on the backend, React on the frontend, and MySQL. Lisa Wong is handling the frontend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Atlas development\"}, \"entities\": [{\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"atlas\", \"target\": \"acme_corp\", \"relation\": \"part_of\"}, {\"source\": \"atlas\", \"target\": \"react\", \"relation\": \"uses_technology\"}, {\"source\": \"atlas\", \"target\": \"flask\", \"relation\": \"uses_technology\"}, {\"source\": \"atlas\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}, {\"source\": \"lisa_wong\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}, {\"source\": \"lisa_wong\", \"target\": \"atlas\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Some project\n\nPREVIOUS ASSISTANT: null\nUSER: Nos vemos!"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Helix.\nUSER: Omar Hassan arrancó esta semana como SRE. Y ahora usamos Python."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"python_lang\", \"label\": \"Python\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as SRE\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"helix\", \"target\": \"python_lang\", \"relation\": \"uses_technology\"}, {\"source\": \"omar_hassan\", \"target\": \"helix\", \"relation\": \"maintains\"}, {\"source\": \"omar_hassan\", \"target\": \"vertex_solutions\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_garcia\", \"label\": \"Professor García\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Data Structures course\n\nPREVIOUS ASSISTANT: null\nUSER: Oh yeah, key formula involves derivatives."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"pagerank\", \"text\": \"Key formula involves derivatives\", \"speaker\": \"user\"}, {\"entity\": \"prof_garcia\", \"text\": \"Has office hours on Thursdays\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Skyline Tech team\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, Sarah Johnson got promoted to full-stack developer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"sarah_johnson\", \"text\": \"Now works as full-stack developer\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Microeconomics course\n\nPREVIOUS ASSISTANT: null\nUSER: We just started learning about Overfitting in class."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"overfitting\", \"target\": \"microeconomics\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: Perfecto."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Nova. Tech stack: Firebase, FastAPI, Redis, MongoDB. Key contributors: Lisa Wong, James O'Brien, Thomas Müller."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Nova development\"}, \"entities\": [{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nova_architecture_doc\", \"label\": \"Nova Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Nova. Tech stack: Firebase, FastAPI, Redis, MongoDB. Key contributors: Lisa\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"nova\", \"target\": \"firebase_db\", \"relation\": \"uses_technology\"}, {\"source\": \"nova\", \"target\": \"fastapi\", \"relation\": \"uses_technology\"}, {\"source\": \"nova\", \"target\": \"redis\", \"relation\": \"uses_technology\"}, {\"source\": \"nova\", \"target\": \"mongodb\", \"relation\": \"uses_technology\"}, {\"source\": \"nova_architecture_doc\", \"target\": \"nova\", \"relation\": \"documented_in\"}, {\"source\": \"lisa_wong\", \"target\": \"nova\", \"relation\": \"maintains\"}, {\"source\": \"james_obrien\", \"target\": \"nova\", \"relation\": \"maintains\"}, {\"source\": \"thomas_muller\", \"target\": \"nova\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Horizon development\n\nPREVIOUS ASSISTANT: null\nUSER: Our product has been getting good feedback."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_platform\", \"label\": \"The Platform\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"horizon\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Clearpath team\n\nPREVIOUS ASSISTANT: null\nUSER: We had a interview session last week with Omar Hassan and Julia Santos and Priya Sharma. Interviewed candidates for CTO position."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"hiring_interview\", \"label\": \"Interview Session\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Interviewed candidates for CTO position\", \"temporal_marker\": \"last week\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"omar_hassan\", \"target\": \"hiring_interview\", \"relation\": \"participated_in\"}, {\"source\": \"julia_santos\", \"target\": \"hiring_interview\", \"relation\": \"participated_in\"}, {\"source\": \"priya_sharma\", \"target\": \"hiring_interview\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Flux development\n\nPREVIOUS ASSISTANT: null\nUSER: We had a sprint review two days ago. Thomas Müller, Carlos Mendez were there. Reviewed Q2 deliverables."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"sprint_review\", \"label\": \"Sprint Review\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Reviewed Q2 deliverables\", \"temporal_marker\": \"two days ago\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"thomas_muller\", \"target\": \"sprint_review\", \"relation\": \"participated_in\"}, {\"source\": \"carlos_mendez\", \"target\": \"sprint_review\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Pulse development\n\nPREVIOUS ASSISTANT: null\nUSER: The database is running slow on production."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_db\", \"label\": \"The Db\", \"type\": \"technology\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"supabase_db\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Work\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: Perfect."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of NovaTech team (medium confidence — verify)\nCURRENT TOPIC: NovaTech team\n\nPREVIOUS ASSISTANT: null\nUSER: Let's focus on the client onboarding now."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Client Onboarding\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Pulse development\n\nPREVIOUS ASSISTANT: null\nUSER: My friend Alice Chen asked me for help with something."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Helping a friend\"}, \"entities\": [{\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"snape\", \"label\": \"Severus Snape\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"dumbledore\", \"label\": \"Albus Dumbledore\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sirius_black\", \"label\": \"Sirius Black\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"draco_malfoy\", \"label\": \"Draco Malfoy\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hermione_granger\", \"label\": \"Hermione Granger\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"diagon_alley\", \"label\": \"Diagon Alley\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ministry_of_magic\", \"label\": \"Ministry of Magic\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: What else about Harry Potter?\nUSER: So in the book, is described as massive."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"diagon_alley\", \"text\": \"Is described as massive\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's a summary of the paper:\nUSER: Summary of the paper \"A Survey of Turing Machine in Machine Learning\":\n\nThis paper reviews Turing Machine and its relationship to Attention Mechanism. Authors: Professor Kumar. Key finding: reduced complexity."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Machine Learning research\"}, \"entities\": [{\"id\": \"a_survey_of_turing_machine_in_machine_le\", \"label\": \"A Survey of Turing Machine in Machine Learning\", \"type\": \"document\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"a_survey_of_turing_machine_in_machine_le\", \"target\": \"turing_machine\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_turing_machine_in_machine_le\", \"target\": \"attention_mechanism\", \"relation\": \"documented_in\"}, {\"source\": \"prof_kumar\", \"target\": \"a_survey_of_turing_machine_in_machine_le\", \"relation\": \"created_by\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"berlin\", \"label\": \"Berlin\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: What neighborhood do I live in?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hoth\", \"label\": \"Hoth\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: Tell me more about Star Wars.\nUSER: New character: Luke Skywalker. They seem to have a history with Obi-Wan Kenobi."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"luke_skywalker\", \"label\": \"Luke Skywalker\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"luke_skywalker\", \"target\": \"obi_wan\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"calculus\", \"label\": \"Calculus\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"statistics\", \"label\": \"Statistics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Calculus course\n\nPREVIOUS ASSISTANT: null\nUSER: Oh yeah, key formula involves derivatives."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"big_o_notation\", \"text\": \"Key formula involves derivatives\", \"speaker\": \"user\"}, {\"entity\": \"prof_williams\", \"text\": \"Has office hours on Mondays\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"computer_networks\", \"label\": \"Computer Networks\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Computer Networks course\n\nPREVIOUS ASSISTANT: null\nUSER: We just started learning about Eigenvalues in class."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"eigenvalues\", \"target\": \"computer_networks\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Catalyst development\n\nPREVIOUS ASSISTANT: What else about Catalyst?\nUSER: Let's dive into the CI/CD pipeline part of Catalyst."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Catalyst CI/CD pipeline\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"statistics\", \"label\": \"Statistics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Microeconomics course\n\nPREVIOUS ASSISTANT: null\nUSER: About the course: has office hours on mondays."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"prof_nakamura\", \"text\": \"Has office hours on Mondays\", \"speaker\": \"user\"}, {\"entity\": \"microeconomics\", \"text\": \"Uses R for assignments\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: What else about Summit?\nUSER: Now about the deployment specifically — how should we handle it?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Summit deployment\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: NovaTech team\n\nPREVIOUS ASSISTANT: null\nUSER: We're also starting Echo, a new initiative. Thomas Müller will lead it as QA engineer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as QA engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"echo_app\", \"target\": \"novatech\", \"relation\": \"part_of\"}, {\"source\": \"thomas_muller\", \"target\": \"echo_app\", \"relation\": \"maintains\"}, {\"source\": \"thomas_muller\", \"target\": \"novatech\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Skyline Tech team\n\nPREVIOUS ASSISTANT: Tell me more about Skyline Tech.\nUSER: Te cuento que revenue grew 25% last quarter."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"skyline_tech\", \"text\": \"Revenue grew 25% last quarter\", \"speaker\": \"user\"}, {\"entity\": \"clearpath\", \"text\": \"Been a client for 5 years\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"london\", \"label\": \"London\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"guitar\", \"label\": \"Guitar\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Have you heard about Nuxt? I'm curious about it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Learning Nuxt\"}, \"entities\": [{\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: What else about Helix?\nUSER: Now about the payments specifically — how should we handle it?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Helix payments\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Data Structures course\n\nPREVIOUS ASSISTANT: null\nUSER: Let's dive deeper into Backpropagation. I'm struggling with it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Backpropagation\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: When did I say I started painting?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Flux. Tech stack: MongoDB, Next.js, Flask. Key contributors: Bob Martinez, Lisa Wong, David Kim."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Flux development\"}, \"entities\": [{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flux_architecture_doc\", \"label\": \"Flux Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Flux. Tech stack: MongoDB, Next.js, Flask. Key contributors: Bob Martinez, \"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"flux\", \"target\": \"mongodb\", \"relation\": \"uses_technology\"}, {\"source\": \"flux\", \"target\": \"nextjs\", \"relation\": \"uses_technology\"}, {\"source\": \"flux\", \"target\": \"flask\", \"relation\": \"uses_technology\"}, {\"source\": \"flux_architecture_doc\", \"target\": \"flux\", \"relation\": \"documented_in\"}, {\"source\": \"bob_martinez\", \"target\": \"flux\", \"relation\": \"maintains\"}, {\"source\": \"lisa_wong\", \"target\": \"flux\", \"relation\": \"maintains\"}, {\"source\": \"david_kim\", \"target\": \"flux\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, let me tell you about our project Summit. It's a CMS we're building at Pinnacle Digital. Stack is FastAPI + Nuxt, PostgreSQL for storage. Nina Petrov is the tech lead."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Summit development\"}, \"entities\": [{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"summit\", \"target\": \"pinnacle_digital\", \"relation\": \"part_of\"}, {\"source\": \"summit\", \"target\": \"nuxt\", \"relation\": \"uses_technology\"}, {\"source\": \"summit\", \"target\": \"fastapi\", \"relation\": \"uses_technology\"}, {\"source\": \"summit\", \"target\": \"postgresql\", \"relation\": \"uses_technology\"}, {\"source\": \"nina_petrov\", \"target\": \"pinnacle_digital\", \"relation\": \"works_at\"}, {\"source\": \"nina_petrov\", \"target\": \"summit\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: By the way, works as a engineer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"marco_silva\", \"text\": \"Works as a engineer\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"paul_atreides\", \"label\": \"Paul Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"leto_atreides\", \"label\": \"Duke Leto Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: What would you like to know about Dune?\nUSER: Can we analyze Baron Harkonnen in more detail?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Baron Harkonnen's character\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nMeeting notes for Beacon sprint planning. Attendees: Lisa Wong, Maria Rodriguez, Carlos Mendez. Discussed migration to MongoDB."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Beacon development\"}, \"entities\": [{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"beacon_meeting_notes\", \"label\": \"Beacon Meeting Notes\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Meeting notes for Beacon sprint planning. Attendees: Lisa Wong, Maria Rodriguez, Carlos Mendez. Disc\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"beacon\", \"target\": \"mongodb\", \"relation\": \"uses_technology\"}, {\"source\": \"beacon\", \"target\": \"fastapi\", \"relation\": \"uses_technology\"}, {\"source\": \"beacon_meeting_notes\", \"target\": \"beacon\", \"relation\": \"documented_in\"}, {\"source\": \"lisa_wong\", \"target\": \"beacon\", \"relation\": \"maintains\"}, {\"source\": \"maria_rodriguez\", \"target\": \"beacon\", \"relation\": \"maintains\"}, {\"source\": \"carlos_mendez\", \"target\": \"beacon\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Echo development\n\nPREVIOUS ASSISTANT: null\nUSER: The app needs a new feature in the dashboard."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_platform\", \"label\": \"The Platform\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"echo_app\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"statistics\", \"label\": \"Statistics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_smith\", \"label\": \"Professor Smith\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Statistics course\n\nPREVIOUS ASSISTANT: null\nUSER: Can you explain Turing Machine again?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"computer_networks\", \"label\": \"Computer Networks\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Computer Networks course\n\nPREVIOUS ASSISTANT: null\nUSER: Oh yeah, has office hours on mondays."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"prof_nakamura\", \"text\": \"Has office hours on Mondays\", \"speaker\": \"user\"}, {\"entity\": \"prof_nakamura\", \"text\": \"Published a paper on backpropagation\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"buenos_aires\", \"label\": \"Buenos Aires\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"cooking\", \"label\": \"Cooking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: I should mention my partner Julia Santos."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's partner\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"julia_santos\", \"target\": \"buenos_aires\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nMeeting notes for Forge sprint planning. Attendees: Omar Hassan. Discussed migration to React."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Forge development\"}, \"entities\": [{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"forge_meeting_notes\", \"label\": \"Forge Meeting Notes\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Meeting notes for Forge sprint planning. Attendees: Omar Hassan. Discussed migration to React.\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"forge\", \"target\": \"react\", \"relation\": \"uses_technology\"}, {\"source\": \"forge\", \"target\": \"fastapi\", \"relation\": \"uses_technology\"}, {\"source\": \"forge_meeting_notes\", \"target\": \"forge\", \"relation\": \"documented_in\"}, {\"source\": \"omar_hassan\", \"target\": \"forge\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Vivo en Bariloche con mi partner Omar Hassan. Últimamente estoy metido en reading."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Personal life\"}, \"entities\": [{\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's partner\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"bariloche\", \"label\": \"Bariloche\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"reading\", \"label\": \"Reading\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"omar_hassan\", \"target\": \"bariloche\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Te cuento del proyecto Compass. Es una aplicación web que estamos armando en Skyline Tech. Stack: Rails + Angular, base de datos en Firebase."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Compass development\"}, \"entities\": [{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"compass\", \"target\": \"skyline_tech\", \"relation\": \"part_of\"}, {\"source\": \"compass\", \"target\": \"angular\", \"relation\": \"uses_technology\"}, {\"source\": \"compass\", \"target\": \"rails\", \"relation\": \"uses_technology\"}, {\"source\": \"compass\", \"target\": \"firebase_db\", \"relation\": \"uses_technology\"}, {\"source\": \"aisha_patel\", \"target\": \"skyline_tech\", \"relation\": \"works_at\"}, {\"source\": \"aisha_patel\", \"target\": \"compass\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"strato\", \"label\": \"Strato\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Strato development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Strato.\nUSER: Carlos Mendez started this week as our new QA engineer. Oh, and we're now using Rust."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"rust_lang\", \"label\": \"Rust\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as QA engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"strato\", \"target\": \"rust_lang\", \"relation\": \"uses_technology\"}, {\"source\": \"carlos_mendez\", \"target\": \"strato\", \"relation\": \"maintains\"}, {\"source\": \"carlos_mendez\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: What else about Prism?\nUSER: The payments is the next thing I need to figure out."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Prism payments\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rust_lang\", \"label\": \"Rust\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"typescript\", \"label\": \"TypeScript\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kotlin_lang\", \"label\": \"Kotlin\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Echo development\n\nPREVIOUS ASSISTANT: null\nUSER: Quién es el tech lead de Echo?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: null\nUSER: Elena Volkov is joining the team as designer to work on Vertex."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as designer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"vertex_app\", \"target\": \"blueshift_labs\", \"relation\": \"part_of\"}, {\"source\": \"elena_volkov\", \"target\": \"vertex_app\", \"relation\": \"maintains\"}, {\"source\": \"elena_volkov\", \"target\": \"blueshift_labs\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"calculus\", \"label\": \"Calculus\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Calculus course\n\nPREVIOUS ASSISTANT: null\nUSER: When is the Calculus midterm?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's a summary of the paper:\nUSER: Summary of the paper \"A Survey of Backpropagation in Microeconomics\":\n\nThis paper reviews Backpropagation and its relationship to Eigenvalues. Authors: Professor Williams, Professor Smith. Key finding: reduced complexity."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Microeconomics research\"}, \"entities\": [{\"id\": \"a_survey_of_backpropagation_in_microecon\", \"label\": \"A Survey of Backpropagation in Microeconomics\", \"type\": \"document\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_smith\", \"label\": \"Professor Smith\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"a_survey_of_backpropagation_in_microecon\", \"target\": \"backpropagation\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_backpropagation_in_microecon\", \"target\": \"eigenvalues\", \"relation\": \"documented_in\"}, {\"source\": \"prof_williams\", \"target\": \"a_survey_of_backpropagation_in_microecon\", \"relation\": \"created_by\"}, {\"source\": \"prof_smith\", \"target\": \"a_survey_of_backpropagation_in_microecon\", \"relation\": \"created_by\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Star Wars, Chapter 20:\n\nObi-Wan Kenobi travels to Tatooine where they encounter Emperor Palpatine. A conflict arises when an ancient prophecy is revealed. Obi-Wan Kenobi must decide whether to fight."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Star Wars\"}, \"entities\": [{\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"palpatine\", \"label\": \"Emperor Palpatine\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"tatooine\", \"label\": \"Tatooine\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_20_conflict\", \"label\": \"Chapter 20 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at Tatooine\", \"temporal_marker\": \"Chapter 20\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"obi_wan\", \"target\": \"chapter_20_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"palpatine\", \"target\": \"chapter_20_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_20_conflict\", \"target\": \"tatooine\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Horizon development\n\nPREVIOUS ASSISTANT: null\nUSER: We're not using Firebase anymore, we migrated to Spring Boot."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"horizon\", \"target\": \"spring_boot\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"horizon\", \"text\": \"Migrated from Firebase to Spring Boot\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: null\nUSER: Our product has been getting good feedback."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"our_project\", \"label\": \"Our Project\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"compass\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: What would you like to know about Lord of the Rings?\nUSER: I want to dig deeper into Gandalf's character arc."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Gandalf's character\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"cordoba_ar\", \"label\": \"Córdoba\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"reading\", \"label\": \"Reading\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cooking\", \"label\": \"Cooking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Can we focus on my painting goals?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Painting hobby\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chewbacca\", \"label\": \"Chewbacca\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luke_skywalker\", \"label\": \"Luke Skywalker\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hoth\", \"label\": \"Hoth\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: null\nUSER: OK, I need to study now. I have Data Structures with Professor Williams tomorrow."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Data Structures course\"}, \"entities\": [{\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Horizon development\n\nPREVIOUS ASSISTANT: Got it, so Horizon uses Spring Boot and React.\nUSER: Para que sepas, using version 18.9."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"react\", \"text\": \"Using version 18.9\", \"speaker\": \"user\"}, {\"entity\": \"julia_santos\", \"text\": \"Is responsible for the dashboard module\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: null\nUSER: Quién es el tech lead de Apex?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Dune, Chapter 3:\n\nBaron Harkonnen travels to Caladan where they encounter Lady Jessica. A conflict arises when a hidden enemy is revealed. Baron Harkonnen must decide whether to negotiate."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Dune\"}, \"entities\": [{\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_3_conflict\", \"label\": \"Chapter 3 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at Caladan\", \"temporal_marker\": \"Chapter 3\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"baron_harkonnen\", \"target\": \"chapter_3_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"jessica\", \"target\": \"chapter_3_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_3_conflict\", \"target\": \"caladan\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Ironforge team\n\nPREVIOUS ASSISTANT: null\nUSER: Our company just got new funding."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"our_company\", \"label\": \"Our Company\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"ironforge\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"hermione_granger\", \"label\": \"Hermione Granger\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"voldemort\", \"label\": \"Lord Voldemort\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hagrid\", \"label\": \"Rubeus Hagrid\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"snape\", \"label\": \"Severus Snape\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"dumbledore\", \"label\": \"Albus Dumbledore\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogsmeade\", \"label\": \"Hogsmeade\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"privet_drive\", \"label\": \"4 Privet Drive\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"diagon_alley\", \"label\": \"Diagon Alley\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: null\nUSER: So the hero finally confronted the enemy."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_hero\", \"label\": \"The Hero\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"ron_weasley\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: null\nUSER: Luca Rossi is joining the team as frontend developer to work on Horizon."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as frontend developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"horizon\", \"target\": \"acme_corp\", \"relation\": \"part_of\"}, {\"source\": \"luca_rossi\", \"target\": \"horizon\", \"relation\": \"maintains\"}, {\"source\": \"luca_rossi\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: NovaTech team\n\nPREVIOUS ASSISTANT: null\nUSER: The client wants a meeting this week."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"el_cliente\", \"label\": \"El Cliente\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"acme_corp\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Microeconomics course\n\nPREVIOUS ASSISTANT: null\nUSER: I need to plan a trip to Tokyo."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel planning\"}, \"entities\": [{\"id\": \"tokyo\", \"label\": \"Tokyo\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Flux development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Flux.\nUSER: We also added GCP to the stack, and Carlos Mendez just joined as backend developer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as backend developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"flux\", \"target\": \"gcp\", \"relation\": \"uses_technology\"}, {\"source\": \"carlos_mendez\", \"target\": \"flux\", \"relation\": \"maintains\"}, {\"source\": \"carlos_mendez\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: I need to plan a trip to London."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel planning\"}, \"entities\": [{\"id\": \"london\", \"label\": \"London\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: The part where Council of Elrond happens is incredible. Sauron, Frodo Baggins, Gollum are all involved. It takes place at Rivendell."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"council_of_elrond\", \"label\": \"Council of Elrond\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Meeting to decide the fate of the Ring\", \"temporal_marker\": \"early in the story\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"sauron\", \"target\": \"council_of_elrond\", \"relation\": \"participated_in\"}, {\"source\": \"frodo\", \"target\": \"council_of_elrond\", \"relation\": \"participated_in\"}, {\"source\": \"gollum\", \"target\": \"council_of_elrond\", \"relation\": \"participated_in\"}, {\"source\": \"council_of_elrond\", \"target\": \"rivendell\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Ironforge team\n\nPREVIOUS ASSISTANT: null\nUSER: Update: Thomas Müller moved to the QA engineer position."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"thomas_muller\", \"text\": \"Now works as QA engineer\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"chewbacca\", \"label\": \"Chewbacca\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"darth_vader\", \"label\": \"Darth Vader\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luke_skywalker\", \"label\": \"Luke Skywalker\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hoth\", \"label\": \"Hoth\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: Tell me more about Star Wars.\nUSER: There's also Yoda who appears in the story. They interact with Darth Vader a lot."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"yoda\", \"target\": \"darth_vader\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"paris\", \"label\": \"Paris\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Back to coding — I'm starting Vertex, using Nuxt."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Vertex development\"}, \"entities\": [{\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"vertex_app\", \"target\": \"nuxt\", \"relation\": \"uses_technology\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Nova development\n\nPREVIOUS ASSISTANT: null\nUSER: Oh, I forgot to mention — currently in alpha."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"nova\", \"text\": \"Currently in alpha\", \"speaker\": \"user\"}, {\"entity\": \"nova\", \"text\": \"The team has 8 developers\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Harry Potter, Chapter 5:\n\nRon Weasley travels to Hogsmeade where they encounter Albus Dumbledore. A conflict arises when a betrayal is revealed. Ron Weasley must decide whether to negotiate."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Harry Potter\"}, \"entities\": [{\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"dumbledore\", \"label\": \"Albus Dumbledore\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"hogsmeade\", \"label\": \"Hogsmeade\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_5_conflict\", \"label\": \"Chapter 5 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at Hogsmeade\", \"temporal_marker\": \"Chapter 5\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"ron_weasley\", \"target\": \"chapter_5_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"dumbledore\", \"target\": \"chapter_5_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_5_conflict\", \"target\": \"hogsmeade\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: null\nUSER: We're not using MongoDB anymore, we migrated to Flask."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"summit\", \"target\": \"flask\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"summit\", \"text\": \"Migrated from MongoDB to Flask\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: New project: Horizon. Maria Rodriguez (SRE) is heading it up."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as SRE\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"horizon\", \"target\": \"harbor_systems\", \"relation\": \"part_of\"}, {\"source\": \"maria_rodriguez\", \"target\": \"horizon\", \"relation\": \"maintains\"}, {\"source\": \"maria_rodriguez\", \"target\": \"harbor_systems\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: Got it, so Compass uses Rails and Angular.\nUSER: Un update de Compass: Using version 18.8."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"angular\", \"text\": \"Using version 18.8\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: null\nUSER: Have you heard about React? I'm curious about it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Learning React\"}, \"entities\": [{\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: The client wants a meeting this week."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"el_cliente\", \"label\": \"El Cliente\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"skyline_tech\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Meridian Software\"}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Orbit development\n\nPREVIOUS ASSISTANT: null\nUSER: Two days ago, we did a production incident with Aisha Patel and Thomas Müller. Outage in Orbit API module."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"incident\", \"label\": \"Production Incident\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Outage in Orbit API module\", \"temporal_marker\": \"two days ago\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"aisha_patel\", \"target\": \"incident\", \"relation\": \"participated_in\"}, {\"source\": \"thomas_muller\", \"target\": \"incident\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Skyline Tech team\n\nPREVIOUS ASSISTANT: Tell me more about Skyline Tech.\nUSER: I should mention that has 187 employees."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"skyline_tech\", \"text\": \"Has 187 employees\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"organic_chemistry\", \"label\": \"Organic Chemistry\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Organic Chemistry course\n\nPREVIOUS ASSISTANT: null\nUSER: Oh yeah, key formula involves matrices."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"regularization\", \"text\": \"Key formula involves matrices\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Echo development\n\nPREVIOUS ASSISTANT: Anything else about Echo?\nUSER: Completely different topic: I started gardening recently."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"paris\", \"label\": \"Paris\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"operating_systems\", \"label\": \"Operating Systems\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Operating Systems course\n\nPREVIOUS ASSISTANT: null\nUSER: New topic in Operating Systems: Transformer Architecture."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"transformer_arch\", \"target\": \"operating_systems\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Harry Potter, Chapter 7:\n\nRon Weasley travels to 4 Privet Drive where they encounter Draco Malfoy. A conflict arises when a mysterious artifact is revealed. Ron Weasley must decide whether to negotiate."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Harry Potter\"}, \"entities\": [{\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"draco_malfoy\", \"label\": \"Draco Malfoy\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"harry_potter\", \"label\": \"Harry Potter\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"privet_drive\", \"label\": \"4 Privet Drive\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_7_conflict\", \"label\": \"Chapter 7 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at 4 Privet Drive\", \"temporal_marker\": \"Chapter 7\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"ron_weasley\", \"target\": \"chapter_7_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"draco_malfoy\", \"target\": \"chapter_7_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_7_conflict\", \"target\": \"privet_drive\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: null\nUSER: En realidad, cambiamos de Nuxt a Next.js en el frontend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"helix\", \"target\": \"nextjs\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"helix\", \"text\": \"Migrated frontend from Nuxt to Next.js\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"new_york\", \"label\": \"New York\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"woodworking\", \"label\": \"Woodworking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Some project\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: Joya."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"new_york\", \"label\": \"New York\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yoga\", \"label\": \"Yoga\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cycling\", \"label\": \"Cycling\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Can we focus on my cycling goals?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Cycling hobby\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"berlin\", \"label\": \"Berlin\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Can we focus on my swimming goals?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Swimming hobby\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: What else about Lord of the Rings?\nUSER: I noticed that Gollum — is described as wise."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"gollum\", \"text\": \"Is described as wise\", \"speaker\": \"user\"}, {\"entity\": \"gollum\", \"text\": \"Has a special ability: precognition\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: When did we start working with Meridian Software?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Pinnacle Digital team\n\nPREVIOUS ASSISTANT: null\nUSER: We had a client meeting last week with Maria Rodriguez and Elena Volkov and Sarah Johnson. Met with Meridian Software to discuss requirements."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"client_meeting\", \"label\": \"Client Meeting\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Met with Meridian Software to discuss requirements\", \"temporal_marker\": \"last week\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"maria_rodriguez\", \"target\": \"client_meeting\", \"relation\": \"participated_in\"}, {\"source\": \"elena_volkov\", \"target\": \"client_meeting\", \"relation\": \"participated_in\"}, {\"source\": \"sarah_johnson\", \"target\": \"client_meeting\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Vertex development\n\nPREVIOUS ASSISTANT: Thanks for the context about Vertex.\nUSER: Quick update on Vertex: The team has 10 developers. Using version 16.3."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"vertex_app\", \"text\": \"The team has 10 developers\", \"speaker\": \"user\"}, {\"entity\": \"nextjs\", \"text\": \"Using version 16.3\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"buenos_aires\", \"label\": \"Buenos Aires\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"guitar\", \"label\": \"Guitar\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: About the guitar thing — I've been making progress."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Guitar hobby\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"paul_atreides\", \"label\": \"Paul Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"leto_atreides\", \"label\": \"Duke Leto Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: null\nUSER: The part where the hero reveals the truth was amazing."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_hero\", \"label\": \"The Hero\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"chani\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Joya."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Back to coding — I'm starting Zenith, using Next.js."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Zenith development\"}, \"entities\": [{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"zenith\", \"target\": \"nextjs\", \"relation\": \"uses_technology\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"tokyo\", \"label\": \"Tokyo\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cooking\", \"label\": \"Cooking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: What neighborhood do I live in?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"calculus\", \"label\": \"Calculus\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Calculus course (medium confidence — verify)\nCURRENT TOPIC: Calculus course\n\nPREVIOUS ASSISTANT: null\nUSER: Let's dive deeper into Attention Mechanism. I'm struggling with it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Attention Mechanism\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, completely off topic — have you read Star Wars? I love Emperor Palpatine."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Star Wars\"}, \"entities\": [{\"id\": \"palpatine\", \"label\": \"Emperor Palpatine\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"tokyo\", \"label\": \"Tokyo\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"reading\", \"label\": \"Reading\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Oh I forgot, great nightlife."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"tokyo\", \"text\": \"Great nightlife\", \"speaker\": \"user\"}, {\"entity\": \"tokyo\", \"text\": \"The commute is 14 minutes\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"leto_atreides\", \"label\": \"Duke Leto Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: null\nUSER: OK, I need to study now. I have Calculus with Professor Kumar tomorrow."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Calculus course\"}, \"entities\": [{\"id\": \"calculus\", \"label\": \"Calculus\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Nexus development\n\nPREVIOUS ASSISTANT: What else about Nexus?\nUSER: Let's dive into the caching layer part of Nexus."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Nexus caching layer\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: Thanks for the context about Forge.\nUSER: Some updates: Currently in alpha. The team has 15 developers. Launched in February 2026."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"forge\", \"text\": \"Currently in alpha\", \"speaker\": \"user\"}, {\"entity\": \"forge\", \"text\": \"The team has 15 developers\", \"speaker\": \"user\"}, {\"entity\": \"forge\", \"text\": \"Launched in February 2026\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Nexus development\n\nPREVIOUS ASSISTANT: What else about Nexus?\nUSER: Can we talk about the API design for Nexus?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Nexus API design\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"harry_potter\", \"label\": \"Harry Potter\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hagrid\", \"label\": \"Rubeus Hagrid\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"forbidden_forest\", \"label\": \"Forbidden Forest\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogsmeade\", \"label\": \"Hogsmeade\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogwarts\", \"label\": \"Hogwarts\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: null\nUSER: In Harry Potter, flying broomstick sporting event. Rubeus Hagrid and Minerva McGonagall and Harry Potter participate. Happens at Hogsmeade, early in the story."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"quidditch_match\", \"label\": \"Quidditch Match\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Flying broomstick sporting event\", \"temporal_marker\": \"early in the story\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"hagrid\", \"target\": \"quidditch_match\", \"relation\": \"participated_in\"}, {\"source\": \"mcgonagall\", \"target\": \"quidditch_match\", \"relation\": \"participated_in\"}, {\"source\": \"harry_potter\", \"target\": \"quidditch_match\", \"relation\": \"participated_in\"}, {\"source\": \"quidditch_match\", \"target\": \"hogsmeade\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: OK let me think about that."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"draco_malfoy\", \"label\": \"Draco Malfoy\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"dumbledore\", \"label\": \"Albus Dumbledore\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hagrid\", \"label\": \"Rubeus Hagrid\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ministry_of_magic\", \"label\": \"Ministry of Magic\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogwarts\", \"label\": \"Hogwarts\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: Tell me more about Harry Potter.\nUSER: There's also Severus Snape who appears in the story. They interact with Rubeus Hagrid a lot."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"snape\", \"label\": \"Severus Snape\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"snape\", \"target\": \"hagrid\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Prism. Tech stack: Flask, Svelte, Next.js. Key contributors: Maria Rodriguez, Omar Hassan, Sarah Johnson."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Prism development\"}, \"entities\": [{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prism_architecture_doc\", \"label\": \"Prism Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Prism. Tech stack: Flask, Svelte, Next.js. Key contributors: Maria Rodrigue\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"prism\", \"target\": \"flask\", \"relation\": \"uses_technology\"}, {\"source\": \"prism\", \"target\": \"svelte\", \"relation\": \"uses_technology\"}, {\"source\": \"prism\", \"target\": \"nextjs\", \"relation\": \"uses_technology\"}, {\"source\": \"prism_architecture_doc\", \"target\": \"prism\", \"relation\": \"documented_in\"}, {\"source\": \"maria_rodriguez\", \"target\": \"prism\", \"relation\": \"maintains\"}, {\"source\": \"omar_hassan\", \"target\": \"prism\", \"relation\": \"maintains\"}, {\"source\": \"sarah_johnson\", \"target\": \"prism\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: null\nUSER: Esta mañana, we did a sprint review with Luca Rossi and Maria Rodriguez. Reviewed Q3 deliverables."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"sprint_review\", \"label\": \"Sprint Review\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Reviewed Q3 deliverables\", \"temporal_marker\": \"esta mañana\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"luca_rossi\", \"target\": \"sprint_review\", \"relation\": \"participated_in\"}, {\"source\": \"maria_rodriguez\", \"target\": \"sprint_review\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Clearpath team\n\nPREVIOUS ASSISTANT: null\nUSER: Raj Kapoor is joining the team as full-stack developer to work on Orbit."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as full-stack developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"orbit\", \"target\": \"clearpath\", \"relation\": \"part_of\"}, {\"source\": \"raj_kapoor\", \"target\": \"orbit\", \"relation\": \"maintains\"}, {\"source\": \"raj_kapoor\", \"target\": \"clearpath\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: null\nUSER: Oh, I forgot to mention — has 292 tables."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"firebase_db\", \"text\": \"Has 292 tables\", \"speaker\": \"user\"}, {\"entity\": \"nina_petrov\", \"text\": \"Has been on the project for 12 months\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Pulse development\n\nPREVIOUS ASSISTANT: null\nUSER: We need to optimize the DB queries."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_db\", \"label\": \"The Db\", \"type\": \"technology\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"postgresql\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Vertex development\n\nPREVIOUS ASSISTANT: null\nUSER: We need to optimize the DB queries."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_db\", \"label\": \"The Db\", \"type\": \"technology\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"postgresql\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vertex_app\", \"label\": \"Vertex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: null\nUSER: I need to discuss the hiring plan specifically."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Hiring Plan\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: null\nUSER: I need to discuss the client onboarding specifically."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Client Onboarding\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Atlas development\n\nPREVIOUS ASSISTANT: null\nUSER: Correction: Marco Silva left the company. Ahmed Farid replaced them."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"marco_silva\", \"text\": \"Left the company\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"toronto\", \"label\": \"Toronto\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Oh I forgot, the commute is 31 minutes."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"toronto\", \"text\": \"The commute is 31 minutes\", \"speaker\": \"user\"}, {\"entity\": \"toronto\", \"text\": \"Great parks\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: I'm working on Apex, a marketplace built with React and Express. We're using Redis for the database. The team lead is Thomas Müller."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Apex development\"}, \"entities\": [{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"apex\", \"target\": \"harbor_systems\", \"relation\": \"part_of\"}, {\"source\": \"apex\", \"target\": \"react\", \"relation\": \"uses_technology\"}, {\"source\": \"apex\", \"target\": \"express\", \"relation\": \"uses_technology\"}, {\"source\": \"apex\", \"target\": \"redis\", \"relation\": \"uses_technology\"}, {\"source\": \"thomas_muller\", \"target\": \"harbor_systems\", \"relation\": \"works_at\"}, {\"source\": \"thomas_muller\", \"target\": \"apex\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"leto_atreides\", \"label\": \"Duke Leto Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"paul_atreides\", \"label\": \"Paul Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: null\nUSER: In Dune, paul rides a sandworm for the first time. Paul Atreides and Stilgar and Chani participate. Happens at Caladan, near the end."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"riding_sandworm\", \"label\": \"Sandworm Ride\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Paul rides a sandworm for the first time\", \"temporal_marker\": \"near the end\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"paul_atreides\", \"target\": \"riding_sandworm\", \"relation\": \"participated_in\"}, {\"source\": \"stilgar\", \"target\": \"riding_sandworm\", \"relation\": \"participated_in\"}, {\"source\": \"chani\", \"target\": \"riding_sandworm\", \"relation\": \"participated_in\"}, {\"source\": \"riding_sandworm\", \"target\": \"caladan\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: Hablamos."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Prism.\nUSER: David Kim arrancó esta semana como DevOps engineer. Y ahora usamos Bootstrap."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"bootstrap\", \"label\": \"Bootstrap\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as DevOps engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"prism\", \"target\": \"bootstrap\", \"relation\": \"uses_technology\"}, {\"source\": \"david_kim\", \"target\": \"prism\", \"relation\": \"maintains\"}, {\"source\": \"david_kim\", \"target\": \"harbor_systems\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"berlin\", \"label\": \"Berlin\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"woodworking\", \"label\": \"Woodworking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: We had graduation two weeks ago. Nina Petrov and Elena Volkov were there. Ceremony at the local university."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"graduation\", \"label\": \"Graduation\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Ceremony at the local university\", \"temporal_marker\": \"two weeks ago\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"nina_petrov\", \"target\": \"graduation\", \"relation\": \"participated_in\"}, {\"source\": \"elena_volkov\", \"target\": \"graduation\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Forge.\nUSER: We brought in Bob Martinez as DevOps engineer and started using Python for the project."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"python_lang\", \"label\": \"Python\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as DevOps engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"forge\", \"target\": \"python_lang\", \"relation\": \"uses_technology\"}, {\"source\": \"bob_martinez\", \"target\": \"forge\", \"relation\": \"maintains\"}, {\"source\": \"bob_martinez\", \"target\": \"novatech\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: About the hiring plan — where are we on that?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Hiring Plan\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"cycling\", \"label\": \"Cycling\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Mi wife quiere ir al parque el fin de semana."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"my_wife\", \"label\": \"My Wife\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"elena_volkov\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Nexus. Tech stack: PostgreSQL, Flask, MySQL, Svelte. Key contributors: James O'Brien, Luca Rossi, Julia Santos."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Nexus development\"}, \"entities\": [{\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nexus_architecture_doc\", \"label\": \"Nexus Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Nexus. Tech stack: PostgreSQL, Flask, MySQL, Svelte. Key contributors: Jame\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"nexus\", \"target\": \"postgresql\", \"relation\": \"uses_technology\"}, {\"source\": \"nexus\", \"target\": \"flask\", \"relation\": \"uses_technology\"}, {\"source\": \"nexus\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}, {\"source\": \"nexus\", \"target\": \"svelte\", \"relation\": \"uses_technology\"}, {\"source\": \"nexus_architecture_doc\", \"target\": \"nexus\", \"relation\": \"documented_in\"}, {\"source\": \"james_obrien\", \"target\": \"nexus\", \"relation\": \"maintains\"}, {\"source\": \"luca_rossi\", \"target\": \"nexus\", \"relation\": \"maintains\"}, {\"source\": \"julia_santos\", \"target\": \"nexus\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: What's the significance of Minas Tirith?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: null\nUSER: Can you remind me what database Summit uses?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: This semester I'm enrolled in Organic Chemistry. Professor Nakamura is teaching it. So far we've covered Overfitting."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Organic Chemistry course\"}, \"entities\": [{\"id\": \"organic_chemistry\", \"label\": \"Organic Chemistry\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"overfitting\", \"target\": \"organic_chemistry\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Let me introduce myself. I'm from Paris, my wife James O'Brien and I live there. I'm really into running."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Personal life\"}, \"entities\": [{\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's wife\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"paris\", \"label\": \"Paris\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"james_obrien\", \"target\": \"paris\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Pulse development\n\nPREVIOUS ASSISTANT: null\nUSER: We're not using Supabase anymore, we migrated to Spring Boot."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"pulse\", \"target\": \"spring_boot\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"pulse\", \"text\": \"Migrated from Supabase to Spring Boot\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Vertex Solutions team\n\nPREVIOUS ASSISTANT: null\nUSER: We had a quarterly review on Monday with Julia Santos and Nina Petrov and Aisha Patel. Reviewed performance and set goals."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"quarterly_review\", \"label\": \"Quarterly Review\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Reviewed performance and set goals\", \"temporal_marker\": \"on Monday\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"julia_santos\", \"target\": \"quarterly_review\", \"relation\": \"participated_in\"}, {\"source\": \"nina_petrov\", \"target\": \"quarterly_review\", \"relation\": \"participated_in\"}, {\"source\": \"aisha_patel\", \"target\": \"quarterly_review\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"organic_chemistry\", \"label\": \"Organic Chemistry\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_garcia\", \"label\": \"Professor García\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Organic Chemistry course\n\nPREVIOUS ASSISTANT: null\nUSER: Can you explain Regularization again?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Hablemos de Dune. Me enganché con Baron Harkonnen y Lady Jessica. Caladan es un escenario increíble."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Dune\"}, \"entities\": [{\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"baron_harkonnen\", \"target\": \"caladan\", \"relation\": \"located_in\"}, {\"source\": \"jessica\", \"target\": \"caladan\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Catalyst development\n\nPREVIOUS ASSISTANT: null\nUSER: Esta mañana, we did a sprint review with Ahmed Farid. Reviewed Q2 deliverables."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"sprint_review\", \"label\": \"Sprint Review\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Reviewed Q2 deliverables\", \"temporal_marker\": \"esta mañana\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"ahmed_farid\", \"target\": \"sprint_review\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Meridian Software\"}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: I see, Prism is built with Next.js.\nUSER: Quick update on Prism: Has 61 employees."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"meridian_software\", \"text\": \"Has 61 employees\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bootstrap\", \"label\": \"Bootstrap\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"tailwind\", \"label\": \"Tailwind CSS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: null\nUSER: Qué framework usamos en el frontend de Compass?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"berlin\", \"label\": \"Berlin\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Oh, and my dad Omar Hassan lives nearby too."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's dad\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"omar_hassan\", \"target\": \"berlin\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: Anything else about Summit?\nUSER: Switching gears — I went to New York last weekend. Amazing trip."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"new_york\", \"label\": \"New York\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"bariloche\", \"label\": \"Bariloche\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: What neighborhood do I live in?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"onyx\", \"label\": \"Onyx\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Some project\n\nPREVIOUS ASSISTANT: I've updated the information.\nUSER: That works for me."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: The part where Destruction of the Ring happens is incredible. Frodo Baggins, Legolas are all involved. It takes place at Mordor."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"destruction_ring\", \"label\": \"Destruction of the Ring\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"The One Ring is destroyed in Mount Doom\", \"temporal_marker\": \"in the middle of the book\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"frodo\", \"target\": \"destruction_ring\", \"relation\": \"participated_in\"}, {\"source\": \"legolas\", \"target\": \"destruction_ring\", \"relation\": \"participated_in\"}, {\"source\": \"destruction_ring\", \"target\": \"mordor\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: null\nUSER: Our project is almost done with the migration."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"our_product\", \"label\": \"Our Product\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"zenith\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: The client wants a meeting this week."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_client\", \"label\": \"The Client\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"pinnacle_digital\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Correction — Carlos Mendez changed jobs. They're now a chef."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"carlos_mendez\", \"text\": \"Carlos Mendez changed jobs. They're now a chef.\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: null\nUSER: How many people are on the team?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Prism.\nUSER: Ahmed Farid arrancó esta semana como designer. Y ahora usamos Go."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"go_lang\", \"label\": \"Go\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as designer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"prism\", \"target\": \"go_lang\", \"relation\": \"uses_technology\"}, {\"source\": \"ahmed_farid\", \"target\": \"prism\", \"relation\": \"maintains\"}, {\"source\": \"ahmed_farid\", \"target\": \"blueshift_labs\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"bariloche\", \"label\": \"Bariloche\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: When did I say I started gardening?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Catalyst development\n\nPREVIOUS ASSISTANT: Anything else about Catalyst?\nUSER: Bueno, cambiando de tema. Fui a New York el finde. Increíble."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"new_york\", \"label\": \"New York\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"toronto\", \"label\": \"Toronto\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"woodworking\", \"label\": \"Woodworking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: OK, let's talk about work. I need to set up Echo with Nuxt."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Echo development\"}, \"entities\": [{\"id\": \"echo_app\", \"label\": \"Echo\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"echo_app\", \"target\": \"nuxt\", \"relation\": \"uses_technology\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Work\n\nPREVIOUS ASSISTANT: Here's what I found about that.\nUSER: Sure, let's do that."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"pulse\", \"label\": \"Pulse\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Pulse development\n\nPREVIOUS ASSISTANT: Anything else about Pulse?\nUSER: Anyway, enough about work. I've been getting into cycling lately."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Orbit development\n\nPREVIOUS ASSISTANT: I see, Orbit is built with Svelte.\nUSER: Just so you know, has 15168 monthly active users."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"orbit\", \"text\": \"Has 15168 monthly active users\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, I'm part of the team at NovaTech. We have a client called Skyline Tech. Key people: Ahmed Farid is full-stack developer, Yuki Tanaka is mobile developer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"NovaTech team\"}, \"entities\": [{\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as full-stack developer\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as mobile developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"novatech\", \"target\": \"skyline_tech\", \"relation\": \"serves\"}, {\"source\": \"ahmed_farid\", \"target\": \"novatech\", \"relation\": \"works_at\"}, {\"source\": \"yuki_tanaka\", \"target\": \"novatech\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: Tell me more about Acme Corp.\nUSER: Update: Contract is worth $236k."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"blueshift_labs\", \"text\": \"Contract is worth $236k\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"london\", \"label\": \"London\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: My grandfather is Bob Martinez, they live in London too."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's grandfather\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"bob_martinez\", \"target\": \"london\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: Got it, so Prism uses Spring Boot and Nuxt.\nUSER: Un update de Prism: Has 17551 monthly active users."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"prism\", \"text\": \"Has 17551 monthly active users\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: null\nUSER: What's Raj Kapoor's role again?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Forge development (medium confidence — verify)\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: What else about Forge?\nUSER: The search functionality is the next thing I need to figure out."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Forge search functionality\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: null\nUSER: Let's focus on the client onboarding now."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Client Onboarding\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: Got it, so Apex uses Rails and Angular.\nUSER: Oh, I forgot to mention — is responsible for the search module."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"thomas_muller\", \"text\": \"Is responsible for the search module\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"sydney\", \"label\": \"Sydney\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"photography\", \"label\": \"Photography\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Mi partner quiere ir al parque el fin de semana."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"my_partner\", \"label\": \"My Partner\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"luca_rossi\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"bariloche\", \"label\": \"Bariloche\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Some project\n\nPREVIOUS ASSISTANT: I've updated the information.\nUSER: Nos vemos!"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"bariloche\", \"label\": \"Bariloche\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"photography\", \"label\": \"Photography\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Mi husband quiere ir al parque el fin de semana."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"my_husband\", \"label\": \"My Husband\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"yuki_tanaka\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: I'm working on Beacon, a API service built with Angular and Express. We're using PostgreSQL for the database. The team lead is James O'Brien."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Beacon development\"}, \"entities\": [{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"beacon\", \"target\": \"harbor_systems\", \"relation\": \"part_of\"}, {\"source\": \"beacon\", \"target\": \"angular\", \"relation\": \"uses_technology\"}, {\"source\": \"beacon\", \"target\": \"express\", \"relation\": \"uses_technology\"}, {\"source\": \"beacon\", \"target\": \"postgresql\", \"relation\": \"uses_technology\"}, {\"source\": \"james_obrien\", \"target\": \"harbor_systems\", \"relation\": \"works_at\"}, {\"source\": \"james_obrien\", \"target\": \"beacon\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: My wife is Carlos Mendez, they live in Mendoza too."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's wife\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"carlos_mendez\", \"target\": \"mendoza\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: null\nUSER: Un update de Summit: Currently in alpha. Has 52 tables."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"summit\", \"text\": \"Currently in alpha\", \"speaker\": \"user\"}, {\"entity\": \"redis\", \"text\": \"Has 52 tables\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: Here's what I found about that.\nUSER: Right."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"new_york\", \"label\": \"New York\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yoga\", \"label\": \"Yoga\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: We had graduation el sábado pasado. Luca Rossi were there. Ceremony at the local university."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"graduation\", \"label\": \"Graduation\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Ceremony at the local university\", \"temporal_marker\": \"el sábado pasado\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"luca_rossi\", \"target\": \"graduation\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Orbit development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Orbit.\nUSER: We brought in Lisa Wong as frontend developer and started using Swift for the project."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"swift_lang\", \"label\": \"Swift\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as frontend developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"orbit\", \"target\": \"swift_lang\", \"relation\": \"uses_technology\"}, {\"source\": \"lisa_wong\", \"target\": \"orbit\", \"relation\": \"maintains\"}, {\"source\": \"lisa_wong\", \"target\": \"vertex_solutions\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: This semester I'm enrolled in Data Structures. Professor Nakamura is teaching it. So far we've covered Big O Notation."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Data Structures course\"}, \"entities\": [{\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"big_o_notation\", \"target\": \"data_structures\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"draco_malfoy\", \"label\": \"Draco Malfoy\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"harry_potter\", \"label\": \"Harry Potter\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"snape\", \"label\": \"Severus Snape\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ministry_of_magic\", \"label\": \"Ministry of Magic\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"privet_drive\", \"label\": \"4 Privet Drive\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogsmeade\", \"label\": \"Hogsmeade\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Harry Potter (medium confidence — verify)\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: What would you like to know about Harry Potter?\nUSER: I want to dig deeper into Severus Snape's character arc."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Severus Snape's character\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"toronto\", \"label\": \"Toronto\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, we moved to Berlin last month."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"toronto\", \"text\": \"Relocated to Berlin\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"go_lang\", \"label\": \"Go\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kotlin_lang\", \"label\": \"Kotlin\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bootstrap\", \"label\": \"Bootstrap\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"python_lang\", \"label\": \"Python\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: null\nUSER: Should we consider PostgreSQL instead of MongoDB?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"buenos_aires\", \"label\": \"Buenos Aires\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"woodworking\", \"label\": \"Woodworking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: I need to plan a trip to Barcelona."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel planning\"}, \"entities\": [{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Lord of the Rings, Chapter 4:\n\nBoromir travels to The Shire where they encounter Samwise Gamgee. A conflict arises when a hidden enemy is revealed. Boromir must decide whether to sacrifice."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Lord of the Rings\"}, \"entities\": [{\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"aragorn\", \"label\": \"Aragorn\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"the_shire\", \"label\": \"The Shire\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_4_conflict\", \"label\": \"Chapter 4 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at The Shire\", \"temporal_marker\": \"Chapter 4\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"boromir\", \"target\": \"chapter_4_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"samwise\", \"target\": \"chapter_4_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_4_conflict\", \"target\": \"the_shire\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"strato\", \"label\": \"Strato\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Vertex Solutions team\n\nPREVIOUS ASSISTANT: null\nUSER: How many people are on the team?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"computer_networks\", \"label\": \"Computer Networks\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"calculus\", \"label\": \"Calculus\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Computer Networks course\n\nPREVIOUS ASSISTANT: null\nUSER: I should add that uses python for assignments."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"computer_networks\", \"text\": \"Uses Python for assignments\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: What's the budget for the Acme Corp project?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Let me know if you need anything else.\nUSER: Gracias!"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"onyx\", \"label\": \"Onyx\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Onyx development\n\nPREVIOUS ASSISTANT: null\nUSER: How does the search module work in Onyx?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Catalyst development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Catalyst.\nUSER: We brought in Bob Martinez as CTO and started using AWS for the project."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as CTO\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"catalyst\", \"target\": \"aws\", \"relation\": \"uses_technology\"}, {\"source\": \"bob_martinez\", \"target\": \"catalyst\", \"relation\": \"maintains\"}, {\"source\": \"bob_martinez\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: Changing topics — Data Structures exam is coming up. Professor Zhang's class."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Data Structures course\"}, \"entities\": [{\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Dune, Chapter 14:\n\nChani travels to Giedi Prime where they encounter Baron Harkonnen. A conflict arises when an ancient prophecy is revealed. Chani must decide whether to flee."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Dune\"}, \"entities\": [{\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_14_conflict\", \"label\": \"Chapter 14 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at Giedi Prime\", \"temporal_marker\": \"Chapter 14\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"chani\", \"target\": \"chapter_14_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"baron_harkonnen\", \"target\": \"chapter_14_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_14_conflict\", \"target\": \"giedi_prime\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"reading\", \"label\": \"Reading\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: We had birthday party last Saturday. Bob Martinez and Nina Petrov were there. Celebrated at a restaurant in Mexico City."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"birthday_party\", \"label\": \"Birthday Party\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Celebrated at a restaurant in Mexico City\", \"temporal_marker\": \"last Saturday\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"bob_martinez\", \"target\": \"birthday_party\", \"relation\": \"participated_in\"}, {\"source\": \"nina_petrov\", \"target\": \"birthday_party\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"dumbledore\", \"label\": \"Albus Dumbledore\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hagrid\", \"label\": \"Rubeus Hagrid\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"draco_malfoy\", \"label\": \"Draco Malfoy\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"harry_potter\", \"label\": \"Harry Potter\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"privet_drive\", \"label\": \"4 Privet Drive\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogsmeade\", \"label\": \"Hogsmeade\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: What else about Harry Potter?\nUSER: So in the book, motivation is to protect friends."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"hagrid\", \"text\": \"Motivation is to protect friends\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: New project: Compass. Yuki Tanaka (CTO) is heading it up."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as CTO\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"compass\", \"target\": \"harbor_systems\", \"relation\": \"part_of\"}, {\"source\": \"yuki_tanaka\", \"target\": \"compass\", \"relation\": \"maintains\"}, {\"source\": \"yuki_tanaka\", \"target\": \"harbor_systems\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Also, the commute is 22 minutes."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"mendoza\", \"text\": \"The commute is 22 minutes\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: null\nUSER: Quick update on Zenith: Has 448 tables. Has 62069 monthly active users."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"mysql\", \"text\": \"Has 448 tables\", \"speaker\": \"user\"}, {\"entity\": \"zenith\", \"text\": \"Has 62069 monthly active users\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Data Structures course\n\nPREVIOUS ASSISTANT: null\nUSER: New topic in Data Structures: Transformer Architecture."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"transformer_arch\", \"target\": \"data_structures\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: Got it, so Helix uses Rails and Next.js.\nUSER: Some updates: Launched in February 2026. Has 399 tables. Has 172 employees."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"helix\", \"text\": \"Launched in February 2026\", \"speaker\": \"user\"}, {\"entity\": \"redis\", \"text\": \"Has 399 tables\", \"speaker\": \"user\"}, {\"entity\": \"vertex_solutions\", \"text\": \"Has 172 employees\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Clearpath team\n\nPREVIOUS ASSISTANT: Tell me more about Clearpath.\nUSER: I should mention that got promoted to sre."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"yuki_tanaka\", \"text\": \"Got promoted to SRE\", \"speaker\": \"user\"}, {\"entity\": \"harbor_systems\", \"text\": \"Contract is worth $191k\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Atlas development\n\nPREVIOUS ASSISTANT: null\nUSER: Our project is almost done with the migration."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"our_project\", \"label\": \"Our Project\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"atlas\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Nova development\n\nPREVIOUS ASSISTANT: Got it, so Nova uses Rails and Vue.\nUSER: Quick update on Nova: Is responsible for the search module."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"bob_martinez\", \"text\": \"Is responsible for the search module\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's a summary of the paper:\nUSER: Summary of the paper \"A Survey of Transformer Architecture in Linear Algebra\":\n\nThis paper reviews Transformer Architecture and its relationship to Gradient Descent. Authors: Professor Kumar, Professor Nakamura. Key finding: improved accuracy by 15%."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Linear Algebra research\"}, \"entities\": [{\"id\": \"a_survey_of_transformer_architecture_in_\", \"label\": \"A Survey of Transformer Architecture in Linear Algebra\", \"type\": \"document\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"backpropagation\", \"label\": \"Backpropagation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"a_survey_of_transformer_architecture_in_\", \"target\": \"transformer_arch\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_transformer_architecture_in_\", \"target\": \"gradient_descent\", \"relation\": \"documented_in\"}, {\"source\": \"a_survey_of_transformer_architecture_in_\", \"target\": \"backpropagation\", \"relation\": \"documented_in\"}, {\"source\": \"prof_kumar\", \"target\": \"a_survey_of_transformer_architecture_in_\", \"relation\": \"created_by\"}, {\"source\": \"prof_nakamura\", \"target\": \"a_survey_of_transformer_architecture_in_\", \"relation\": \"created_by\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Horizon development\n\nPREVIOUS ASSISTANT: Anything else about Horizon?\nUSER: Switching gears — I went to Mexico City last weekend. Amazing trip."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"cooking\", \"label\": \"Cooking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yoga\", \"label\": \"Yoga\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: changed (medium confidence — verify)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Different topic: Catalyst. We're building it with Flask."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Catalyst development\"}, \"entities\": [{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"catalyst\", \"target\": \"flask\", \"relation\": \"uses_technology\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: null\nUSER: Cómo funciona el módulo de búsqueda en Helix?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harry_potter\", \"label\": \"Harry Potter\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hagrid\", \"label\": \"Rubeus Hagrid\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"snape\", \"label\": \"Severus Snape\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"voldemort\", \"label\": \"Lord Voldemort\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sirius_black\", \"label\": \"Sirius Black\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hermione_granger\", \"label\": \"Hermione Granger\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogsmeade\", \"label\": \"Hogsmeade\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ministry_of_magic\", \"label\": \"Ministry of Magic\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogwarts\", \"label\": \"Hogwarts\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: null\nUSER: Let's talk about Sorting Ceremony — new students sorted into houses. Key characters: Hermione Granger, Severus Snape, Ron Weasley."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"sorting_ceremony\", \"label\": \"Sorting Ceremony\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"New students sorted into houses\", \"temporal_marker\": \"early in the story\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"hermione_granger\", \"target\": \"sorting_ceremony\", \"relation\": \"participated_in\"}, {\"source\": \"snape\", \"target\": \"sorting_ceremony\", \"relation\": \"participated_in\"}, {\"source\": \"ron_weasley\", \"target\": \"sorting_ceremony\", \"relation\": \"participated_in\"}, {\"source\": \"sorting_ceremony\", \"target\": \"ministry_of_magic\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: What else about Summit?\nUSER: Now about the API design specifically — how should we handle it?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Summit API design\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_kumar\", \"label\": \"Professor Kumar\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"linear_algebra\", \"label\": \"Linear Algebra\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Quantum Physics course (medium confidence — verify)\nCURRENT TOPIC: Quantum Physics course\n\nPREVIOUS ASSISTANT: null\nUSER: I need to understand Overfitting better for the exam."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Overfitting\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Te pongo en contexto. Estoy en Acme Corp, trabajamos con BlueShift Labs. Marco Silva es backend developer y Luca Rossi es DevOps engineer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Acme Corp team\"}, \"entities\": [{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as backend developer\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as DevOps engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"acme_corp\", \"target\": \"blueshift_labs\", \"relation\": \"serves\"}, {\"source\": \"marco_silva\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}, {\"source\": \"luca_rossi\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Skyline Tech\"}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Beacon development\n\nPREVIOUS ASSISTANT: null\nUSER: Random question: what do you think about Paul Atreides in Dune?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Dune\"}, \"entities\": [{\"id\": \"paul_atreides\", \"label\": \"Paul Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"aragorn\", \"label\": \"Aragorn\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: Let's talk about Council of Elrond — meeting to decide the fate of the ring. Key characters: Frodo Baggins, Gollum."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"council_of_elrond\", \"label\": \"Council of Elrond\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Meeting to decide the fate of the Ring\", \"temporal_marker\": \"in the middle of the book\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"frodo\", \"target\": \"council_of_elrond\", \"relation\": \"participated_in\"}, {\"source\": \"gollum\", \"target\": \"council_of_elrond\", \"relation\": \"participated_in\"}, {\"source\": \"council_of_elrond\", \"target\": \"rivendell\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"catalyst\", \"label\": \"Catalyst\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Catalyst development\n\nPREVIOUS ASSISTANT: null\nUSER: El lunes pasado, we did a planning meeting with David Kim and Priya Sharma. Planned the next sprint for Catalyst."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"planning_meeting\", \"label\": \"Planning Meeting\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Planned the next sprint for Catalyst\", \"temporal_marker\": \"el lunes pasado\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"david_kim\", \"target\": \"planning_meeting\", \"relation\": \"participated_in\"}, {\"source\": \"priya_sharma\", \"target\": \"planning_meeting\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"paris\", \"label\": \"Paris\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: We had birthday party last month. Sarah Johnson were there. Celebrated at a restaurant in Paris."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"birthday_party\", \"label\": \"Birthday Party\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Celebrated at a restaurant in Paris\", \"temporal_marker\": \"last month\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"sarah_johnson\", \"target\": \"birthday_party\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: null\nUSER: Our product has been getting good feedback."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"our_project\", \"label\": \"Our Project\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"forge\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: Tell me more about Harbor Systems.\nUSER: Oh, contract is worth $168k."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"pinnacle_digital\", \"text\": \"Contract is worth $168k\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"the_shire\", \"label\": \"The Shire\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: In Lord of the Rings, the one ring is destroyed in mount doom. Legolas and Frodo Baggins participate. Happens at Mordor, during the war."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"destruction_ring\", \"label\": \"Destruction of the Ring\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"The One Ring is destroyed in Mount Doom\", \"temporal_marker\": \"during the war\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"legolas\", \"target\": \"destruction_ring\", \"relation\": \"participated_in\"}, {\"source\": \"frodo\", \"target\": \"destruction_ring\", \"relation\": \"participated_in\"}, {\"source\": \"destruction_ring\", \"target\": \"mordor\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"sydney\", \"label\": \"Sydney\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"photography\", \"label\": \"Photography\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: OK, let's talk about work. I need to set up Flux with Vue."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Flux development\"}, \"entities\": [{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"flux\", \"target\": \"vue\", \"relation\": \"uses_technology\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Te pongo en contexto. Estoy en NovaTech, trabajamos con Harbor Systems. Omar Hassan es DevOps engineer y Carlos Mendez es CTO."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"NovaTech team\"}, \"entities\": [{\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as DevOps engineer\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as CTO\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"novatech\", \"target\": \"harbor_systems\", \"relation\": \"serves\"}, {\"source\": \"omar_hassan\", \"target\": \"novatech\", \"relation\": \"works_at\"}, {\"source\": \"carlos_mendez\", \"target\": \"novatech\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"frodo\", \"label\": \"Frodo Baggins\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"the_shire\", \"label\": \"The Shire\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: What else about Lord of the Rings?\nUSER: So in the book, motivation is to save the world."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"sauron\", \"text\": \"Motivation is to save the world\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_nakamura\", \"label\": \"Professor Nakamura\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Microeconomics course\n\nPREVIOUS ASSISTANT: null\nUSER: Oh yeah, key formula involves derivatives."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"regularization\", \"text\": \"Key formula involves derivatives\", \"speaker\": \"user\"}, {\"entity\": \"prof_nakamura\", \"text\": \"Has office hours on Mondays\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, we moved to Barcelona last month."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"mexico_city\", \"text\": \"Relocated to Barcelona\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: Tell me more about BlueShift Labs.\nUSER: Te cuento que revenue grew 19% last quarter."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"blueshift_labs\", \"text\": \"Revenue grew 19% last quarter\", \"speaker\": \"user\"}, {\"entity\": \"blueshift_labs\", \"text\": \"Has 433 employees\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"knitting\", \"label\": \"Knitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cycling\", \"label\": \"Cycling\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Oh I forgot, the commute is 15 minutes."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"mendoza\", \"text\": \"The commute is 15 minutes\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Let's talk about Harry Potter. I'm really into Hermione Granger and Ron Weasley right now. The setting in Hogwarts is amazing."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Harry Potter\"}, \"entities\": [{\"id\": \"hermione_granger\", \"label\": \"Hermione Granger\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"snape\", \"label\": \"Severus Snape\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"hogwarts\", \"label\": \"Hogwarts\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"hermione_granger\", \"target\": \"hogwarts\", \"relation\": \"located_in\"}, {\"source\": \"ron_weasley\", \"target\": \"hogwarts\", \"relation\": \"located_in\"}, {\"source\": \"mcgonagall\", \"target\": \"hogwarts\", \"relation\": \"located_in\"}, {\"source\": \"snape\", \"target\": \"hogwarts\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"computer_networks\", \"label\": \"Computer Networks\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Computer Networks course (medium confidence — verify)\nCURRENT TOPIC: Computer Networks course\n\nPREVIOUS ASSISTANT: null\nUSER: I need to understand Transformer Architecture better for the exam."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Transformer Architecture\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: null\nUSER: En realidad, cambiamos de Svelte a MySQL en el frontend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"forge\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"forge\", \"text\": \"Migrated frontend from Svelte to MySQL\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"operating_systems\", \"label\": \"Operating Systems\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_williams\", \"label\": \"Professor Williams\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"big_o_notation\", \"label\": \"Big O Notation\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"calculus\", \"label\": \"Calculus\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"machine_learning\", \"label\": \"Machine Learning\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Operating Systems course\n\nPREVIOUS ASSISTANT: null\nUSER: When is the Operating Systems midterm?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Work\n\nPREVIOUS ASSISTANT: null\nUSER: Yep."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"swift_lang\", \"label\": \"Swift\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"typescript\", \"label\": \"TypeScript\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: null\nUSER: Qué framework usamos en el frontend de Apex?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Vertex Solutions team\n\nPREVIOUS ASSISTANT: Tell me more about Vertex Solutions.\nUSER: I should mention that is leading the q3 initiative."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"yuki_tanaka\", \"text\": \"Is leading the Q3 initiative\", \"speaker\": \"user\"}, {\"entity\": \"blueshift_labs\", \"text\": \"Contract is worth $242k\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rivendell\", \"label\": \"Rivendell\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mordor\", \"label\": \"Mordor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: I think the hero made a mistake in that scene."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_hero\", \"label\": \"The Hero\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"legolas\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Beacon development\n\nPREVIOUS ASSISTANT: null\nUSER: Moving on from work — I just started reading Star Wars."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Star Wars\"}, \"entities\": [{\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Clearpath team\n\nPREVIOUS ASSISTANT: null\nUSER: El lead se toma vacaciones."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_team_lead\", \"label\": \"The Team Lead\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"julia_santos\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aragorn\", \"label\": \"Aragorn\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: Tell me more about Lord of the Rings.\nUSER: I just got to the part where Samwise Gamgee shows up. Seems connected to Boromir."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"samwise\", \"label\": \"Samwise Gamgee\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"samwise\", \"target\": \"boromir\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"paul_atreides\", \"label\": \"Paul Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: What else about Dune?\nUSER: In Dune, motivation is to save the world."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"duncan_idaho\", \"text\": \"Motivation is to save the world\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"quantum_physics\", \"label\": \"Quantum Physics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_garcia\", \"label\": \"Professor García\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"regularization\", \"label\": \"Regularization\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"attention_mechanism\", \"label\": \"Attention Mechanism\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"pagerank\", \"label\": \"PageRank\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"overfitting\", \"label\": \"Overfitting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"operating_systems\", \"label\": \"Operating Systems\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Quantum Physics course (medium confidence — verify)\nCURRENT TOPIC: Quantum Physics course\n\nPREVIOUS ASSISTANT: null\nUSER: Let's dive deeper into Attention Mechanism. I'm struggling with it."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Attention Mechanism\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"darth_vader\", \"label\": \"Darth Vader\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chewbacca\", \"label\": \"Chewbacca\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"death_star\", \"label\": \"Death Star\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"endor\", \"label\": \"Endor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"tatooine\", \"label\": \"Tatooine\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hoth\", \"label\": \"Hoth\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: null\nUSER: Let's talk about Jedi Training — luke trains with yoda on dagobah. Key characters: Darth Vader, Obi-Wan Kenobi."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"jedi_training\", \"label\": \"Jedi Training\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Luke trains with Yoda on Dagobah\", \"temporal_marker\": \"in the middle of the book\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"darth_vader\", \"target\": \"jedi_training\", \"relation\": \"participated_in\"}, {\"source\": \"obi_wan\", \"target\": \"jedi_training\", \"relation\": \"participated_in\"}, {\"source\": \"jedi_training\", \"target\": \"death_star\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luke_skywalker\", \"label\": \"Luke Skywalker\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"han_solo\", \"label\": \"Han Solo\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"coruscant\", \"label\": \"Coruscant\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"tatooine\", \"label\": \"Tatooine\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: null\nUSER: Changing topics — Microeconomics exam is coming up. Professor Smith's class."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Microeconomics course\"}, \"entities\": [{\"id\": \"microeconomics\", \"label\": \"Microeconomics\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_smith\", \"label\": \"Professor Smith\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Forge.\nUSER: New update: we integrated Java into Forge. Also, Marco Silva is our new QA engineer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"java_lang\", \"label\": \"Java\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as QA engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"forge\", \"target\": \"java_lang\", \"relation\": \"uses_technology\"}, {\"source\": \"marco_silva\", \"target\": \"forge\", \"relation\": \"maintains\"}, {\"source\": \"marco_silva\", \"target\": \"vertex_solutions\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"leto_atreides\", \"label\": \"Duke Leto Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"giedi_prime\", \"label\": \"Giedi Prime\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: null\nUSER: So the hero finally confronted the enemy."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"the_hero\", \"label\": \"The Hero\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"baron_harkonnen\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"bariloche\", \"label\": \"Bariloche\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"baking\", \"label\": \"Baking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"running\", \"label\": \"Running\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Correction — Yuki Tanaka changed jobs. They're now a chef."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"yuki_tanaka\", \"text\": \"Yuki Tanaka changed jobs. They're now a chef.\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"hagrid\", \"label\": \"Rubeus Hagrid\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sirius_black\", \"label\": \"Sirius Black\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ministry_of_magic\", \"label\": \"Ministry of Magic\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: null\nUSER: Who are Sirius Black's allies?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Forge.\nUSER: James O'Brien started this week as our new DevOps engineer. Oh, and we're now using Kotlin."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"kotlin_lang\", \"label\": \"Kotlin\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as DevOps engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"forge\", \"target\": \"kotlin_lang\", \"relation\": \"uses_technology\"}, {\"source\": \"james_obrien\", \"target\": \"forge\", \"relation\": \"maintains\"}, {\"source\": \"james_obrien\", \"target\": \"vertex_solutions\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: null\nUSER: We're also starting Compass, a new initiative. Raj Kapoor will lead it as product manager."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as product manager\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"compass\", \"target\": \"acme_corp\", \"relation\": \"part_of\"}, {\"source\": \"raj_kapoor\", \"target\": \"compass\", \"relation\": \"maintains\"}, {\"source\": \"raj_kapoor\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"tokyo\", \"label\": \"Tokyo\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"baking\", \"label\": \"Baking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"guitar\", \"label\": \"Guitar\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gardening\", \"label\": \"Gardening\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chess\", \"label\": \"Chess\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Personal life (medium confidence — verify)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: About the guitar thing — I've been making progress."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Guitar hobby\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: What else about Compass?\nUSER: I want to focus on the CI/CD pipeline module. That's where we have issues."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Compass CI/CD pipeline\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: BlueShift Labs team\n\nPREVIOUS ASSISTANT: null\nUSER: La empresa consiguió nueva financiación."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"la_empresa\", \"label\": \"La Empresa\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"blueshift_labs\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Acme Corp team\n\nPREVIOUS ASSISTANT: null\nUSER: New project: Helix. Priya Sharma (CTO) is heading it up."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as CTO\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"helix\", \"target\": \"acme_corp\", \"relation\": \"part_of\"}, {\"source\": \"priya_sharma\", \"target\": \"helix\", \"relation\": \"maintains\"}, {\"source\": \"priya_sharma\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"paris\", \"label\": \"Paris\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yoga\", \"label\": \"Yoga\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, we moved to Córdoba last month."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"paris\", \"text\": \"Relocated to Córdoba\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Ironforge team\n\nPREVIOUS ASSISTANT: null\nUSER: We had a board meeting last week with Lisa Wong and Aisha Patel and Omar Hassan. Discussed Q3 results."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"board_meeting\", \"label\": \"Board Meeting\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Discussed Q3 results\", \"temporal_marker\": \"last week\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"lisa_wong\", \"target\": \"board_meeting\", \"relation\": \"participated_in\"}, {\"source\": \"aisha_patel\", \"target\": \"board_meeting\", \"relation\": \"participated_in\"}, {\"source\": \"omar_hassan\", \"target\": \"board_meeting\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"supabase_db\", \"label\": \"Supabase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, completely off topic — have you read Dune? I love Baron Harkonnen."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Dune\"}, \"entities\": [{\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: Got it, so Compass uses Spring Boot and Angular.\nUSER: Para que sepas, is responsible for the notifications module."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"omar_hassan\", \"text\": \"Is responsible for the notifications module\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Let's talk about Harry Potter. I'm really into Sirius Black and Harry Potter right now. The setting in Hogwarts is amazing."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Harry Potter\"}, \"entities\": [{\"id\": \"sirius_black\", \"label\": \"Sirius Black\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"harry_potter\", \"label\": \"Harry Potter\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"hogwarts\", \"label\": \"Hogwarts\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"sirius_black\", \"target\": \"hogwarts\", \"relation\": \"located_in\"}, {\"source\": \"harry_potter\", \"target\": \"hogwarts\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"baron_harkonnen\", \"label\": \"Baron Harkonnen\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: Tell me more about Dune.\nUSER: There's also Lady Jessica who appears in the story. They interact with Baron Harkonnen a lot."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"jessica\", \"target\": \"baron_harkonnen\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"prism\", \"label\": \"Prism\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"github_actions\", \"label\": \"GitHub Actions\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Prism development\n\nPREVIOUS ASSISTANT: I see, Prism is built with Next.js.\nUSER: Ah, me olvidé de decirte: has 328 tables."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"redis\", \"text\": \"Has 328 tables\", \"speaker\": \"user\"}, {\"entity\": \"prism\", \"text\": \"Has 1150 monthly active users\", \"speaker\": \"user\"}, {\"entity\": \"prism\", \"text\": \"Launched in June 2026\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"woodworking\", \"label\": \"Woodworking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cooking\", \"label\": \"Cooking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: We had birthday party last month. Luca Rossi and Omar Hassan were there. Celebrated at a restaurant in Mexico City."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"birthday_party\", \"label\": \"Birthday Party\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Celebrated at a restaurant in Mexico City\", \"temporal_marker\": \"last month\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"luca_rossi\", \"target\": \"birthday_party\", \"relation\": \"participated_in\"}, {\"source\": \"omar_hassan\", \"target\": \"birthday_party\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Skyline Tech team\n\nPREVIOUS ASSISTANT: Tell me more about Skyline Tech.\nUSER: Update: Revenue grew 7% last quarter."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"skyline_tech\", \"text\": \"Revenue grew 7% last quarter\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mexico_city\", \"label\": \"Mexico City\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"photography\", \"label\": \"Photography\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"cycling\", \"label\": \"Cycling\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"painting\", \"label\": \"Painting\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: About the photography thing — I've been making progress."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Photography hobby\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"barcelona\", \"label\": \"Barcelona\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gaming\", \"label\": \"Gaming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"swimming\", \"label\": \"Swimming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: My friend Sarah Johnson asked me for help with something."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Helping a friend\"}, \"entities\": [{\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Star Wars, Chapter 11:\n\nDarth Vader travels to Endor where they encounter Leia Organa. A conflict arises when a betrayal is revealed. Darth Vader must decide whether to fight."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Star Wars\"}, \"entities\": [{\"id\": \"darth_vader\", \"label\": \"Darth Vader\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"leia_organa\", \"label\": \"Leia Organa\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"han_solo\", \"label\": \"Han Solo\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"endor\", \"label\": \"Endor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_11_conflict\", \"label\": \"Chapter 11 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at Endor\", \"temporal_marker\": \"Chapter 11\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"darth_vader\", \"target\": \"chapter_11_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"leia_organa\", \"target\": \"chapter_11_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_11_conflict\", \"target\": \"endor\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"london\", \"label\": \"London\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"reading\", \"label\": \"Reading\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: My uncle is Julia Santos, they live in London too."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's uncle\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"julia_santos\", \"target\": \"london\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"strato\", \"label\": \"Strato\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Strato development\n\nPREVIOUS ASSISTANT: null\nUSER: Ah, me olvidé de decirte: has 421 tables."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"redis\", \"text\": \"Has 421 tables\", \"speaker\": \"user\"}, {\"entity\": \"strato\", \"text\": \"Has 20342 monthly active users\", \"speaker\": \"user\"}, {\"entity\": \"react\", \"text\": \"Using version 14.6\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Beacon. Tech stack: Redis, MySQL, Firebase. Key contributors: Nina Petrov."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Beacon development\"}, \"entities\": [{\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"beacon_architecture_doc\", \"label\": \"Beacon Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Beacon. Tech stack: Redis, MySQL, Firebase. Key contributors: Nina Petrov.\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"beacon\", \"target\": \"redis\", \"relation\": \"uses_technology\"}, {\"source\": \"beacon\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}, {\"source\": \"beacon\", \"target\": \"firebase_db\", \"relation\": \"uses_technology\"}, {\"source\": \"beacon_architecture_doc\", \"target\": \"beacon\", \"relation\": \"documented_in\"}, {\"source\": \"nina_petrov\", \"target\": \"beacon\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"compass\", \"label\": \"Compass\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Compass development\n\nPREVIOUS ASSISTANT: Anything else about Compass?\nUSER: Off topic — have you been to Córdoba? I just got back."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Travel\"}, \"entities\": [{\"id\": \"cordoba_ar\", \"label\": \"Córdoba\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"skyline_tech\", \"label\": \"Skyline Tech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"beacon\", \"label\": \"Beacon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Skyline Tech team\n\nPREVIOUS ASSISTANT: null\nUSER: We had a interview session last week with James O'Brien and Priya Sharma. Interviewed candidates for SRE position."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"hiring_interview\", \"label\": \"Interview Session\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Interviewed candidates for SRE position\", \"temporal_marker\": \"last week\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"james_obrien\", \"target\": \"hiring_interview\", \"relation\": \"participated_in\"}, {\"source\": \"priya_sharma\", \"target\": \"hiring_interview\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"data_structures\", \"label\": \"Data Structures\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"prof_smith\", \"label\": \"Professor Smith\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"transformer_arch\", \"label\": \"Transformer Architecture\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"turing_machine\", \"label\": \"Turing Machine\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"eigenvalues\", \"label\": \"Eigenvalues\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Data Structures course\n\nPREVIOUS ASSISTANT: null\nUSER: New topic in Data Structures: Gradient Descent."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"gradient_descent\", \"label\": \"Gradient Descent\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"gradient_descent\", \"target\": \"data_structures\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Vertex Solutions\"}}, {\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Horizon development\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, completely off topic — have you read Dune? I love Stilgar."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Dune\"}, \"entities\": [{\"id\": \"stilgar\", \"label\": \"Stilgar\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, completely off topic — have you read Lord of the Rings? I love Gollum."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Lord of the Rings\"}, \"entities\": [{\"id\": \"gollum\", \"label\": \"Gollum\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"snape\", \"label\": \"Severus Snape\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"draco_malfoy\", \"label\": \"Draco Malfoy\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"harry_potter\", \"label\": \"Harry Potter\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sirius_black\", \"label\": \"Sirius Black\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hermione_granger\", \"label\": \"Hermione Granger\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"forbidden_forest\", \"label\": \"Forbidden Forest\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"privet_drive\", \"label\": \"4 Privet Drive\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"diagon_alley\", \"label\": \"Diagon Alley\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: What else about Harry Potter?\nUSER: In Harry Potter, is described as dangerous."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"forbidden_forest\", \"text\": \"Is described as dangerous\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Pinnacle Digital\"}}, {\"id\": \"pinnacle_digital\", \"label\": \"Pinnacle Digital\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Nexus development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Nexus.\nUSER: Sumamos Go al stack, y Julia Santos se unió como CTO."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"go_lang\", \"label\": \"Go\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as CTO\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"nexus\", \"target\": \"go_lang\", \"relation\": \"uses_technology\"}, {\"source\": \"julia_santos\", \"target\": \"nexus\", \"relation\": \"maintains\"}, {\"source\": \"julia_santos\", \"target\": \"pinnacle_digital\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"draco_malfoy\", \"label\": \"Draco Malfoy\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ron_weasley\", \"label\": \"Ron Weasley\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mcgonagall\", \"label\": \"Minerva McGonagall\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogsmeade\", \"label\": \"Hogsmeade\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hogwarts\", \"label\": \"Hogwarts\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Harry Potter\n\nPREVIOUS ASSISTANT: What else about Harry Potter?\nUSER: So in the book, is described as wise."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"draco_malfoy\", \"text\": \"Is described as wise\", \"speaker\": \"user\"}, {\"entity\": \"draco_malfoy\", \"text\": \"Has a special ability: the Force\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"orbit\", \"label\": \"Orbit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Harbor Systems\"}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"spring_boot\", \"label\": \"Spring Boot\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Orbit development\n\nPREVIOUS ASSISTANT: null\nUSER: How does the caching module work in Orbit?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Hey, I'm part of the team at BlueShift Labs. We have a client called Ironforge. Key people: Omar Hassan is DevOps engineer, Raj Kapoor is backend developer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"BlueShift Labs team\"}, \"entities\": [{\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as DevOps engineer\", \"speaker\": \"user\"}], \"existing_id\": null}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as backend developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"blueshift_labs\", \"target\": \"ironforge\", \"relation\": \"serves\"}, {\"source\": \"omar_hassan\", \"target\": \"blueshift_labs\", \"relation\": \"works_at\"}, {\"source\": \"raj_kapoor\", \"target\": \"blueshift_labs\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Meridian Software\"}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yuki_tanaka\", \"label\": \"Yuki Tanaka\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"docker\", \"label\": \"Docker\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"bootstrap\", \"label\": \"Bootstrap\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"tailwind\", \"label\": \"Tailwind CSS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"terraform\", \"label\": \"Terraform\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"swift_lang\", \"label\": \"Swift\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: null\nUSER: Qué framework usamos en el frontend de Summit?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"leto_atreides\", \"label\": \"Duke Leto Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"paul_atreides\", \"label\": \"Paul Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jessica\", \"label\": \"Lady Jessica\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"arrakis\", \"label\": \"Arrakis\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Dune\n\nPREVIOUS ASSISTANT: null\nUSER: Let's talk about Sandworm Ride — paul rides a sandworm for the first time. Key characters: Chani, Lady Jessica, Duke Leto Atreides."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"riding_sandworm\", \"label\": \"Sandworm Ride\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Paul rides a sandworm for the first time\", \"temporal_marker\": \"during the war\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"chani\", \"target\": \"riding_sandworm\", \"relation\": \"participated_in\"}, {\"source\": \"jessica\", \"target\": \"riding_sandworm\", \"relation\": \"participated_in\"}, {\"source\": \"leto_atreides\", \"target\": \"riding_sandworm\", \"relation\": \"participated_in\"}, {\"source\": \"riding_sandworm\", \"target\": \"arrakis\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"helix\", \"label\": \"Helix\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Helix development\n\nPREVIOUS ASSISTANT: null\nUSER: Quick update on Helix: Launched in June 2026. Has 17 tables. Currently in staging."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"helix\", \"text\": \"Launched in June 2026\", \"speaker\": \"user\"}, {\"entity\": \"mongodb\", \"text\": \"Has 17 tables\", \"speaker\": \"user\"}, {\"entity\": \"helix\", \"text\": \"Currently in staging\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"zenith\", \"label\": \"Zenith\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"svelte\", \"label\": \"Svelte\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: subtopic of Zenith development (medium confidence — verify)\nCURRENT TOPIC: Zenith development\n\nPREVIOUS ASSISTANT: What else about Zenith?\nUSER: Ahora quiero hablar del payments específicamente."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Zenith payments\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's the chapter summary:\nUSER: Summary of Dune, Chapter 6:\n\nDuncan Idaho travels to Caladan where they encounter Chani. A conflict arises when a mysterious artifact is revealed. Duncan Idaho must decide whether to negotiate."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Dune\"}, \"entities\": [{\"id\": \"duncan_idaho\", \"label\": \"Duncan Idaho\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chani\", \"label\": \"Chani\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"leto_atreides\", \"label\": \"Duke Leto Atreides\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"caladan\", \"label\": \"Caladan\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"chapter_6_conflict\", \"label\": \"Chapter 6 Conflict\", \"type\": \"event\", \"layer\": \"UNIVERSAL\", \"attributes\": {\"description\": \"Conflict at Caladan\", \"temporal_marker\": \"Chapter 6\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"duncan_idaho\", \"target\": \"chapter_6_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chani\", \"target\": \"chapter_6_conflict\", \"relation\": \"participated_in\"}, {\"source\": \"chapter_6_conflict\", \"target\": \"caladan\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: NovaTech team\n\nPREVIOUS ASSISTANT: null\nUSER: Let's focus on the hiring plan now."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Hiring Plan\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"han_solo\", \"label\": \"Han Solo\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"obi_wan\", \"label\": \"Obi-Wan Kenobi\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"palpatine\", \"label\": \"Emperor Palpatine\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"endor\", \"label\": \"Endor\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"coruscant\", \"label\": \"Coruscant\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: Tell me more about Star Wars.\nUSER: There's also Darth Vader who appears in the story. They interact with Obi-Wan Kenobi a lot."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"darth_vader\", \"label\": \"Darth Vader\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"darth_vader\", \"target\": \"obi_wan\", \"relation\": \"part_of\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"rails\", \"label\": \"Rails\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: What else about Apex?\nUSER: Can we talk about the notifications for Apex?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Apex notifications\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"cordoba_ar\", \"label\": \"Córdoba\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"cooking\", \"label\": \"Cooking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: When did I say I started cooking?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"legolas\", \"label\": \"Legolas\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sauron\", \"label\": \"Sauron\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"the_shire\", \"label\": \"The Shire\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"isengard\", \"label\": \"Isengard\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Lord of the Rings\n\nPREVIOUS ASSISTANT: null\nUSER: Changing topics — Calculus exam is coming up. Professor Zhang's class."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Calculus course\"}, \"entities\": [{\"id\": \"calculus\", \"label\": \"Calculus\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"prof_zhang\", \"label\": \"Professor Zhang\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at BlueShift Labs\"}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"gcp\", \"label\": \"GCP\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Nova development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Nova.\nUSER: Luca Rossi started this week as our new DevOps engineer. Oh, and we're now using Tailwind CSS."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"tailwind\", \"label\": \"Tailwind CSS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as DevOps engineer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"nova\", \"target\": \"tailwind\", \"relation\": \"uses_technology\"}, {\"source\": \"luca_rossi\", \"target\": \"nova\", \"relation\": \"maintains\"}, {\"source\": \"luca_rossi\", \"target\": \"blueshift_labs\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Te cuento del proyecto Nexus. Es una dashboard que estamos armando en Ironforge. Stack: FastAPI + Next.js, base de datos en PostgreSQL."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Nexus development\"}, \"entities\": [{\"id\": \"nexus\", \"label\": \"Nexus\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nextjs\", \"label\": \"Next.js\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"nexus\", \"target\": \"ironforge\", \"relation\": \"part_of\"}, {\"source\": \"nexus\", \"target\": \"nextjs\", \"relation\": \"uses_technology\"}, {\"source\": \"nexus\", \"target\": \"fastapi\", \"relation\": \"uses_technology\"}, {\"source\": \"nexus\", \"target\": \"postgresql\", \"relation\": \"uses_technology\"}, {\"source\": \"maria_rodriguez\", \"target\": \"ironforge\", \"relation\": \"works_at\"}, {\"source\": \"maria_rodriguez\", \"target\": \"nexus\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Let's talk about Lord of the Rings. I'm really into Gimli and Boromir right now. The setting in Minas Tirith is amazing."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Lord of the Rings\"}, \"entities\": [{\"id\": \"gimli\", \"label\": \"Gimli\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"boromir\", \"label\": \"Boromir\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"gandalf\", \"label\": \"Gandalf\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"minas_tirith\", \"label\": \"Minas Tirith\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"gimli\", \"target\": \"minas_tirith\", \"relation\": \"located_in\"}, {\"source\": \"boromir\", \"target\": \"minas_tirith\", \"relation\": \"located_in\"}, {\"source\": \"gandalf\", \"target\": \"minas_tirith\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"blueshift_labs\", \"label\": \"BlueShift Labs\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: Update: Priya Sharma moved to the tech lead position."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": [{\"entity\": \"priya_sharma\", \"text\": \"Now works as tech lead\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"julia_santos\", \"label\": \"Julia Santos\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"strato\", \"label\": \"Strato\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Harbor Systems team\n\nPREVIOUS ASSISTANT: null\nUSER: La empresa consiguió nueva financiación."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"la_empresa\", \"label\": \"La Empresa\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"harbor_systems\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"forge\", \"label\": \"Forge\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at NovaTech\"}}, {\"id\": \"novatech\", \"label\": \"NovaTech\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"luca_rossi\", \"label\": \"Luca Rossi\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Forge development\n\nPREVIOUS ASSISTANT: null\nUSER: We need to optimize the DB queries."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"la_base_de_datos\", \"label\": \"La Base De Datos\", \"type\": \"technology\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": \"firebase_db\"}], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"vertex_solutions\", \"label\": \"Vertex Solutions\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"harbor_systems\", \"label\": \"Harbor Systems\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"lisa_wong\", \"label\": \"Lisa Wong\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"omar_hassan\", \"label\": \"Omar Hassan\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"horizon\", \"label\": \"Horizon\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Vertex Solutions team\n\nPREVIOUS ASSISTANT: null\nUSER: What's the budget for the Harbor Systems project?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"apex\", \"label\": \"Apex\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Clearpath\"}}, {\"id\": \"clearpath\", \"label\": \"Clearpath\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"django\", \"label\": \"Django\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"firebase_db\", \"label\": \"Firebase\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"alice_chen\", \"label\": \"Alice Chen\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"jenkins\", \"label\": \"Jenkins\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Apex development\n\nPREVIOUS ASSISTANT: null\nUSER: Actually, we switched from Nuxt to Flask for the frontend."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"flask\", \"label\": \"Flask\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"apex\", \"target\": \"flask\", \"relation\": \"uses_technology\"}], \"facts\": [{\"entity\": \"apex\", \"text\": \"Migrated frontend from Nuxt to Flask\", \"speaker\": \"user\"}]}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Meridian Software\"}}, {\"id\": \"meridian_software\", \"label\": \"Meridian Software\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nuxt\", \"label\": \"Nuxt\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"maria_rodriguez\", \"label\": \"Maria Rodriguez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: Here's what I found about that.\nUSER: Nice."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Nova. Tech stack: MongoDB, MySQL, FastAPI. Key contributors: David Kim."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Nova development\"}, \"entities\": [{\"id\": \"nova\", \"label\": \"Nova\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mongodb\", \"label\": \"MongoDB\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nova_architecture_doc\", \"label\": \"Nova Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Nova. Tech stack: MongoDB, MySQL, FastAPI. Key contributors: David Kim.\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"nova\", \"target\": \"mongodb\", \"relation\": \"uses_technology\"}, {\"source\": \"nova\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}, {\"source\": \"nova\", \"target\": \"fastapi\", \"relation\": \"uses_technology\"}, {\"source\": \"nova_architecture_doc\", \"target\": \"nova\", \"relation\": \"documented_in\"}, {\"source\": \"david_kim\", \"target\": \"nova\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"palpatine\", \"label\": \"Emperor Palpatine\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"death_star\", \"label\": \"Death Star\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Star Wars\n\nPREVIOUS ASSISTANT: null\nUSER: What's the significance of Death Star?"}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"atlas\", \"label\": \"Atlas\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Ironforge\"}}, {\"id\": \"ironforge\", \"label\": \"Ironforge\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"angular\", \"label\": \"Angular\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"fastapi\", \"label\": \"FastAPI\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"postgresql\", \"label\": \"PostgreSQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"sarah_johnson\", \"label\": \"Sarah Johnson\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"elena_volkov\", \"label\": \"Elena Volkov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"priya_sharma\", \"label\": \"Priya Sharma\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"azure\", \"label\": \"Azure\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"kubernetes\", \"label\": \"Kubernetes\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Atlas development\n\nPREVIOUS ASSISTANT: What else about Atlas?\nUSER: The database schema is the next thing I need to figure out."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"subtopic\", \"label\": \"Atlas database schema\"}, \"entities\": [], \"relations\": [], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"mendoza\", \"label\": \"Mendoza\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"carlos_mendez\", \"label\": \"Carlos Mendez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"thomas_muller\", \"label\": \"Thomas Müller\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"yoga\", \"label\": \"Yoga\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from keyword match)\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: We had dinner party two weeks ago. James O'Brien and Carlos Mendez were there. Hosted dinner with friends and family."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"dinner_party\", \"label\": \"Dinner Party\", \"type\": \"event\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Hosted dinner with friends and family\", \"temporal_marker\": \"two weeks ago\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"james_obrien\", \"target\": \"dinner_party\", \"relation\": \"participated_in\"}, {\"source\": \"carlos_mendez\", \"target\": \"dinner_party\", \"relation\": \"participated_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"berlin\", \"label\": \"Berlin\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"james_obrien\", \"label\": \"James O'Brien\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"ahmed_farid\", \"label\": \"Ahmed Farid\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"gaming\", \"label\": \"Gaming\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: Different topic: Flux. We're building it with Express."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Flux development\"}, \"entities\": [{\"id\": \"flux\", \"label\": \"Flux\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"flux\", \"target\": \"express\", \"relation\": \"uses_technology\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Internal project at Acme Corp\"}}, {\"id\": \"acme_corp\", \"label\": \"Acme Corp\", \"type\": \"organization\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"express\", \"label\": \"Express\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"marco_silva\", \"label\": \"Marco Silva\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}]\n\nTOPIC HINT: same (high confidence from embedding similarity)\nCURRENT TOPIC: Summit development\n\nPREVIOUS ASSISTANT: Got it, tell me more about Summit.\nUSER: Sumamos AWS al stack, y Nina Petrov se unió como frontend developer."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"aws\", \"label\": \"AWS\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"nina_petrov\", \"label\": \"Nina Petrov\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Works as frontend developer\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"summit\", \"target\": \"aws\", \"relation\": \"uses_technology\"}, {\"source\": \"nina_petrov\", \"target\": \"summit\", \"relation\": \"maintains\"}, {\"source\": \"nina_petrov\", \"target\": \"acme_corp\", \"relation\": \"works_at\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: I've processed the document. Here's what I found:\nUSER: Here's a summary of the document I just read:\n\nArchitecture overview of Summit. Tech stack: Redis, React, Vue, MySQL. Key contributors: Bob Martinez."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Summit development\"}, \"entities\": [{\"id\": \"summit\", \"label\": \"Summit\", \"type\": \"project\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"redis\", \"label\": \"Redis\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"react\", \"label\": \"React\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"vue\", \"label\": \"Vue\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"mysql\", \"label\": \"MySQL\", \"type\": \"technology\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"bob_martinez\", \"label\": \"Bob Martinez\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"summit_architecture_doc\", \"label\": \"Summit Architecture Document\", \"type\": \"document\", \"layer\": \"PERSONAL\", \"attributes\": {\"description\": \"Architecture overview of Summit. Tech stack: Redis, React, Vue, MySQL. Key contributors: Bob Martine\"}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"summit\", \"target\": \"redis\", \"relation\": \"uses_technology\"}, {\"source\": \"summit\", \"target\": \"react\", \"relation\": \"uses_technology\"}, {\"source\": \"summit\", \"target\": \"vue\", \"relation\": \"uses_technology\"}, {\"source\": \"summit\", \"target\": \"mysql\", \"relation\": \"uses_technology\"}, {\"source\": \"summit_architecture_doc\", \"target\": \"summit\", \"relation\": \"documented_in\"}, {\"source\": \"bob_martinez\", \"target\": \"summit\", \"relation\": \"maintains\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[{\"id\": \"london\", \"label\": \"London\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"david_kim\", \"label\": \"David Kim\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"raj_kapoor\", \"label\": \"Raj Kapoor\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}}, {\"id\": \"baking\", \"label\": \"Baking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}, {\"id\": \"hiking\", \"label\": \"Hiking\", \"type\": \"concept\", \"layer\": \"UNIVERSAL\", \"attributes\": {}}]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: Personal life\n\nPREVIOUS ASSISTANT: null\nUSER: I should mention my uncle Aisha Patel."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"same\", \"label\": null}, \"entities\": [{\"id\": \"aisha_patel\", \"label\": \"Aisha Patel\", \"type\": \"person\", \"layer\": \"PERSONAL\", \"attributes\": {}, \"facts\": [{\"text\": \"Is the user's uncle\", \"speaker\": \"user\"}], \"existing_id\": null}], \"relations\": [{\"source\": \"aisha_patel\", \"target\": \"london\", \"relation\": \"located_in\"}], \"facts\": []}"}]}
{"messages": [{"role": "system", "content": "You are a knowledge extractor for a personal knowledge graph. Analyze the conversation and return a single JSON object with topic classification, entities, relations, and facts. Output valid JSON only, no markdown, no explanation."}, {"role": "user", "content": "EXISTING NODES:\n[]\n\nTOPIC HINT: unresolved — classify the topic yourself\nCURRENT TOPIC: null\n\nPREVIOUS ASSISTANT: null\nUSER: Let's talk about Star Wars. I'm really into Luke Skywalker and Yoda right now. The setting in Hoth is amazing."}, {"role": "assistant", "content": "{\"topic\": {\"action\": \"changed\", \"label\": \"Star Wars\"}, \"entities\": [{\"id\": \"luke_skywalker\", \"label\": \"Luke Skywalker\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"yoda\", \"label\": \"Yoda\", \"type\": \"person\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}, {\"id\": \"hoth\", \"label\": \"Hoth\", \"type\": \"place\", \"layer\": \"UNIVERSAL\", \"attributes\": {}, \"facts\": [], \"existing_id\": null}], \"relations\": [{\"source\": \"luke_skywalker\", \"target\": \"hoth\", \"relation\": \"located_in\"}, {\"source\": \"yoda\", \"target\": \"hoth\", \"relation\": \"located_in\"}], \"facts\": []}"}]}