query stringlengths 86 205 | entity_a stringlengths 4 53 | entity_b stringlengths 4 66 | rel_b stringlengths 5 36 | prompt stringlengths 4.94k 5.13k | model stringclasses 1
value | generation_params stringclasses 1
value | model_response stringlengths 1.58k 12.6k | reasoning_summary stringlengths 0 13.6k | path_prediction listlengths 1 1 | path_strings listlengths 12 19 | parsed_paths stringlengths 1.19k 3.24k | n_paths int64 12 19 | validity listlengths 12 19 | n_valid_paths int64 2 19 | cost_usd float64 0 0.01 | elapsed_s float64 11.9 122 | method stringclasses 1
value | mode stringclasses 1
value | input_dataset stringclasses 1
value | timestamp timestamp[ns]date 2026-04-07 11:33:05 2026-04-07 12:50:29 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
What are different ways of connecting Tobin Bell, the actor known for his role in the "Saw" series, and someone who has been an unmarried partner of Harvey Keitel? | Tobin Bell | Harvey Keitel | unmarried partner | Query: What are different ways of connecting Tobin Bell, the actor known for his role in the "Saw" series, and someone who has been an unmarried partner of Harvey Keitel?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (hea... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Tobin Bell", "acted in", "Saw (franchise)"],
["Saw (franchise)", "produced by", "Lionsgate Films"],
["Lionsgate Films", "distributed films starring", "Lorraine Bracco"],
["Lorraine Bracco", "unmarried partner", "Harvey Keitel"]
],
"2": [
["Tobin Bell", "acted with", "Bruce... |
1. Enumerate facets for Tobin Bell:
- Professional: Actor (best known for "Saw" series)
- Collaborations: Worked with directors and actors such as James Wan, Leigh Whannell, or others in horror genre
- Awards: Has received or been nominated for horror or acting awards
- Family: Has spouse or children (might connect in... | [
"\n\n<answer>{\n \"1\": [\n [\"Tobin Bell\", \"acted in\", \"Saw (franchise)\"],\n [\"Saw (franchise)\", \"produced by\", \"Lionsgate Films\"],\n [\"Lionsgate Films\", \"distributed films starring\", \"Lorraine Bracco\"],\n [\"Lorraine Bracco\", \"unmarried partner\", \"Harvey Keitel\"]\n ],\n \"2\":... | [
" [acted in] saw (franchise) | saw (franchise) [produced by] lionsgate films | lionsgate films [distributed films starring] lorraine bracco | lorraine bracco [unmarried partner] harvey keitel",
" [acted with] bruce davison | bruce davison [acted with] lorraine bracco | lorraine bracco [unmarried partner] harvey k... | [[["tobin bell", "acted in", "saw (franchise)"], ["saw (franchise)", "produced by", "lionsgate films"], ["lionsgate films", "distributed films starring", "lorraine bracco"], ["lorraine bracco", "unmarried partner", "harvey keitel"]], [["tobin bell", "acted with", "bruce davison"], ["bruce davison", "acted with", "lorra... | 12 | [
1,
1,
1,
0,
1,
1,
0,
1,
1,
1,
0,
1
] | 9 | 0.00392 | 33.35 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:33:05.770578 |
What are different ways of connecting Eric Allan Kramer, the actor, and someone who is known for their work as a poet? | Eric Allan Kramer | poet | occupation | Query: What are different ways of connecting Eric Allan Kramer, the actor, and someone who is known for their work as a poet?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous c... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Eric Allan Kramer", "acted in", "Macbeth (play)"],
["Macbeth (play)", "written by", "William Shakespeare"],
["William Shakespeare", "occupation", "poet"]
],
"2": [
["Eric Allan Kramer", "acted with", "Michael Richards"],
["Michael Richards", "published", "poetry works"],
... |
Facet enumeration for Eric Allan Kramer:
1. Professional/occupational: actor (known roles: Thor in stage production, appearances in TV shows like "Mad About You," "Schitt's Creek")
2. Awards/Honors: possible theater awards, not very well-documented (no major wins known)
3. Family/Personal: possible relatives or spouse... | [
"\n<answer>{\n \"1\": [\n [\"Eric Allan Kramer\", \"acted in\", \"Macbeth (play)\"],\n [\"Macbeth (play)\", \"written by\", \"William Shakespeare\"],\n [\"William Shakespeare\", \"occupation\", \"poet\"]\n ],\n \"2\": [\n [\"Eric Allan Kramer\", \"acted with\", \"Michael Richards\"],\n [\"Michael ... | [
" [acted in] macbeth (play) | macbeth (play) [written by] william shakespeare | william shakespeare [occupation] poet",
" [acted with] michael richards | michael richards [published] poetry works | michael richards [occupation] poet",
" [nominated at] emily dickinson theater festival | emily dickinson theater f... | [[["eric allan kramer", "acted in", "macbeth (play)"], ["macbeth (play)", "written by", "william shakespeare"], ["william shakespeare", "occupation", "poet"]], [["eric allan kramer", "acted with", "michael richards"], ["michael richards", "published", "poetry works"], ["michael richards", "occupation", "poet"]], [["eri... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003086 | 29.6 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:33:35.375695 |
What are different ways of connecting Richard Schiff, the American actor, and someone who was born in Tegucigalpa? | Richard Schiff | Tegucigalpa | place of birth | Query: What are different ways of connecting Richard Schiff, the American actor, and someone who was born in Tegucigalpa?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of Richard Schiff:
- Profession: Actor, known for TV (The West Wing)
- Awards: Won Screen Actors Guild Award with ensemble cast
- Family: Married to Sheila Kelley
- Education: Graduated from City College of New York
- Collaborations: Worked with Aaron Sorkin (creator of The West Wing)
- Geog... | [
"<think>\n1. Enumerate facets of Richard Schiff:\n- Profession: Actor, known for TV (The West Wing)\n- Awards: Won Screen Actors Guild Award with ensemble cast\n- Family: Married to Sheila Kelley\n- Education: Graduated from City College of New York\n- Collaborations: Worked with Aaron Sorkin (creator of The West W... | [
" [acted in] the west wing | the west wing [has co-star] julianna margulies | julianna margulies [acted with] oscar isaac | oscar isaac [born in] guatemala city | guatemala city [nearby capital to] tegucigalpa",
" [married to] sheila kelley | sheila kelley [acted in] a year in the life | a year in the life [co-st... | [[["richard schiff", "acted in", "the west wing"], ["the west wing", "has co-star", "julianna margulies"], ["julianna margulies", "acted with", "oscar isaac"], ["oscar isaac", "born in", "guatemala city"], ["guatemala city", "nearby capital to", "tegucigalpa"]], [["richard schiff", "married to", "sheila kelley"], ["she... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002716 | 22.2 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:33:57.576822 | |
What are different ways of connecting Eliza Matengu and someone who was educated at Edinburgh's Telford College? | Eliza Matengu | Edinburgh's Telford College | educated at | Query: What are different ways of connecting Eliza Matengu and someone who was educated at Edinburgh's Telford College?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain t... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Eliza Matengu", "educated at", "University of Namibia"],
["University of Namibia", "partner with", "Edinburgh University"],
["Edinburgh University", "alumni include", "Person A"],
["Person A", "educated at", "Edinburgh's Telford College"]
],
"2": [
["Eliza Matengu", "member... |
1. Enumerate facets of Eliza Matengu:
- Professional: Namibian academic and university vice-chancellor.
- Awards: Received awards related to education or leadership.
- Education: Studied at various universities (e.g., University of Namibia).
- Institutional: Vice-chancellor of the University of Namibia.
... | [
"\n<answer>{\n \"1\": [\n [\"Eliza Matengu\", \"educated at\", \"University of Namibia\"],\n [\"University of Namibia\", \"partner with\", \"Edinburgh University\"],\n [\"Edinburgh University\", \"alumni include\", \"Person A\"],\n [\"Person A\", \"educated at\", \"Edinburgh's Telford College\"]\n ],\... | [
" [educated at] university of namibia | university of namibia [partner with] edinburgh university | edinburgh university [alumni include] person a | person a [educated at] edinburgh's telford college",
" [member of] african universities association | african universities association [partnered with] scottish educ... | [[["eliza matengu", "educated at", "university of namibia"], ["university of namibia", "partner with", "edinburgh university"], ["edinburgh university", "alumni include", "person a"], ["person a", "educated at", "edinburgh's telford college"]], [["eliza matengu", "member of", "african universities association"], ["afri... | 12 | [
1,
1,
0,
1,
1,
1,
1,
1,
1,
1,
1,
0
] | 10 | 0.0037 | 27.99 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:34:25.565455 |
What are different ways of connecting Manny Jacinto, the actor, and someone who is known for their work in the field of dance? | Manny Jacinto | dance | field of work | Query: What are different ways of connecting Manny Jacinto, the actor, and someone who is known for their work in the field of dance?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a cont... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Manny Jacinto", "acted in", "The Good Place"],
["The Good Place", "choreographed by", "Jamal Sims"],
["Jamal Sims", "field of work", "dance"]
],
"2": [
["Manny Jacinto", "born in", "Vancouver"],
["Vancouver", "home to", "Vancouver Dance Centre"],
["Vancouver Dance Cent... |
Facets of Manny Jacinto:
1. Professional: Actor known for TV and films (e.g., The Good Place)
2. Awards/Honors: Nominations or awards if any (less known, but possibly)
3. Family/Personal: Parents, ethnic background (Filipino-Canadian)
4. Organizations: Memberships or affiliations (e.g., acting guilds)
5. Geography: Bo... | [
"\n\n<answer>{\n \"1\": [\n [\"Manny Jacinto\", \"acted in\", \"The Good Place\"],\n [\"The Good Place\", \"choreographed by\", \"Jamal Sims\"],\n [\"Jamal Sims\", \"field of work\", \"dance\"]\n ],\n \"2\": [\n [\"Manny Jacinto\", \"born in\", \"Vancouver\"],\n [\"Vancouver\", \"home to\", \"Vanc... | [
" [acted in] the good place | the good place [choreographed by] jamal sims | jamal sims [field of work] dance",
" [born in] vancouver | vancouver [home to] vancouver dance centre | vancouver dance centre [field of work] dance",
" [nationality] filipino canadian | filipino canadian [associated with] philippine b... | [[["manny jacinto", "acted in", "the good place"], ["the good place", "choreographed by", "jamal sims"], ["jamal sims", "field of work", "dance"]], [["manny jacinto", "born in", "vancouver"], ["vancouver", "home to", "vancouver dance centre"], ["vancouver dance centre", "field of work", "dance"]], [["manny jacinto", "n... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003346 | 28.17 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:34:53.750302 |
What are different ways of connecting Stephen McKinley Henderson, an accomplished actor, and someone who was trained by Afa Anoa'i? | Stephen McKinley Henderson | Afa Anoa'i | trained by | Query: What are different ways of connecting Stephen McKinley Henderson, an accomplished actor, and someone who was trained by Afa Anoa'i?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Stephen McKinley Henderson", "acted in", "Fences (play)"],
["Fences (play)", "written by", "August Wilson"],
["August Wilson", "inspired", "WWE's cultural storytelling"],
["WWE", "trained by", "Afa Anoa'i"]
],
"2": [
["Stephen McKinley Henderson", "born in", "Kansas City, ... |
1. Enumerate facets of Stephen McKinley Henderson:
- Profession: Actor (stage, film, TV)
- Awards: Tony Award nominee, Drama Desk nominee
- Education: North Carolina Central University
- Theatre involvement: Broadway, especially plays by August Wilson
- Geography: Born in Kansas City, Missouri
- Collabor... | [
"\n\n<answer>{\n \"1\": [\n [\"Stephen McKinley Henderson\", \"acted in\", \"Fences (play)\"],\n [\"Fences (play)\", \"written by\", \"August Wilson\"],\n [\"August Wilson\", \"inspired\", \"WWE's cultural storytelling\"],\n [\"WWE\", \"trained by\", \"Afa Anoa'i\"]\n ],\n \"2\": [\n [\"Stephen Mc... | [
" [acted in] fences (play) | fences (play) [written by] august wilson | august wilson [inspired] wwe's cultural storytelling | wwe [trained by] afa anoa'i",
" [born in] kansas city, missouri | kansas city, missouri [hosts events by] wild samoan training center | wild samoan training center [founded by] afa anoa'i... | [[["stephen mckinley henderson", "acted in", "fences (play)"], ["fences (play)", "written by", "august wilson"], ["august wilson", "inspired", "wwe's cultural storytelling"], ["wwe", "trained by", "afa anoa'i"]], [["stephen mckinley henderson", "born in", "kansas city, missouri"], ["kansas city, missouri", "hosts event... | 12 | [
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1
] | 11 | 0.002777 | 27.23 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:35:20.977837 |
What are different ways of connecting Steven Ford, the American actor, and someone who has ancestral ties to the Kingdom of Great Britain? | Steven Ford | Kingdom of Great Britain | ancestral home | Query: What are different ways of connecting Steven Ford, the American actor, and someone who has ancestral ties to the Kingdom of Great Britain?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) fo... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Steven Ford", "son of", "Gerald Ford"],
["Gerald Ford", "ancestral home", "Kingdom of Great Britain"]
],
"2": [
["Steven Ford", "mother", "Betty Ford"],
["Betty Ford", "ancestral home", "Kingdom of Great Britain"]
],
"3": [
["Steven Ford", "acted in", "When Things Were ... |
Enumerate facets of Steven Ford:
1. Family/personal: Son of Gerald Ford (38th US President), Betty Ford (First Lady).
2. Professional/occupational: Actor, appeared in films and TV shows.
3. Education: Attended University of California, Berkeley.
4. Geographic/place-based: Born in the United States, Midwest connections... | [
"\n<answer>{\n \"1\": [\n [\"Steven Ford\", \"son of\", \"Gerald Ford\"],\n [\"Gerald Ford\", \"ancestral home\", \"Kingdom of Great Britain\"]\n ],\n \"2\": [\n [\"Steven Ford\", \"mother\", \"Betty Ford\"],\n [\"Betty Ford\", \"ancestral home\", \"Kingdom of Great Britain\"]\n ],\n \"3\": [\n ... | [
" [son of] gerald ford | gerald ford [ancestral home] kingdom of great britain",
" [mother] betty ford | betty ford [ancestral home] kingdom of great britain",
" [acted in] when things were rotten | when things were rotten [set in] medieval england | medieval england [ancestral home] kingdom of great britain",
... | [[["steven ford", "son of", "gerald ford"], ["gerald ford", "ancestral home", "kingdom of great britain"]], [["steven ford", "mother", "betty ford"], ["betty ford", "ancestral home", "kingdom of great britain"]], [["steven ford", "acted in", "when things were rotten"], ["when things were rotten", "set in", "medieval en... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002286 | 20.66 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:35:41.640283 |
What are different ways of connecting Stephen Critchlow, a talented voice actor, and someone who is known for their work as a film actor? | Stephen Critchlow | film actor | occupation | Query: What are different ways of connecting Stephen Critchlow, a talented voice actor, and someone who is known for their work as a film actor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) for... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Stephen Critchlow", "acted in", "Doctor Who audio dramas"],
["Doctor Who audio dramas", "featured actor", "David Tennant"],
["David Tennant", "occupation", "film actor"]
],
"2": [
["Stephen Critchlow", "member of", "Royal Shakespeare Company"],
["Royal Shakespeare Company"... |
1. Enumerate Stephen Critchlow facets:
- Profession: voice actor, radio actor, theatre actor, TV actor
- Collaboration: worked with Doctor Who franchise actors
- Geography: born in England; acted in UK productions
- Education: attended Liverpool John Moores University (he studied chemistry, but also did acting)
- Film... | [
"\n<answer>\n{\n \"1\": [\n [\"Stephen Critchlow\", \"acted in\", \"Doctor Who audio dramas\"],\n [\"Doctor Who audio dramas\", \"featured actor\", \"David Tennant\"],\n [\"David Tennant\", \"occupation\", \"film actor\"]\n ],\n \"2\": [\n [\"Stephen Critchlow\", \"member of\", \"Royal Shakespeare Co... | [
" [acted in] doctor who audio dramas | doctor who audio dramas [featured actor] david tennant | david tennant [occupation] film actor",
" [member of] royal shakespeare company | royal shakespeare company [employed actor] patrick stewart | patrick stewart [occupation] film actor",
" [acted with] david warner | d... | [[["stephen critchlow", "acted in", "doctor who audio dramas"], ["doctor who audio dramas", "featured actor", "david tennant"], ["david tennant", "occupation", "film actor"]], [["stephen critchlow", "member of", "royal shakespeare company"], ["royal shakespeare company", "employed actor", "patrick stewart"], ["patrick ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
1
] | 11 | 0.002548 | 24.02 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:36:05.665760 |
What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach? | David Koechner | Newport Beach | place of birth | Query: What are different ways of connecting David Koechner, the American actor and comedian, and someone who was born in Newport Beach?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a c... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Facet enumeration for David Koechner:
1. Professional: actor/comedian, roles in movies and TV shows
2. Awards/honors: nominations and wins (Emmy, SAG, etc.)
3. Family/personal: spouse, children, family origin
4. Institutional/organizational: groups he’s been a member of, e.g., The Second City, Upright C... | [
"<think>\nFacet enumeration for David Koechner: \n1. Professional: actor/comedian, roles in movies and TV shows \n2. Awards/honors: nominations and wins (Emmy, SAG, etc.) \n3. Family/personal: spouse, children, family origin \n4. Institutional/organizational: groups he’s been a member of, e.g., The Second City,... | [
" [born in] kansas city, missouri | kansas city, missouri [sister city of] newport beach",
" [acted in] anchorman | anchorman [filmed in] newport beach",
" [member of] sag-aftra | sag-aftra [headquartered in] newport beach",
" [acted with] steve carell | steve carell [born in] concord, massachusetts | concord... | [[["david koechner", "born in", "kansas city, missouri"], ["kansas city, missouri", "sister city of", "newport beach"]], [["david koechner", "acted in", "anchorman"], ["anchorman", "filmed in", "newport beach"]], [["david koechner", "member of", "sag-aftra"], ["sag-aftra", "headquartered in", "newport beach"]], [["davi... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.005164 | 51.45 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:36:57.118869 | |
What are different ways of connecting Di Botcher, a television personality, and someone who is known for their work as a television actor? | Di Botcher | television actor | occupation | Query: What are different ways of connecting Di Botcher, a television personality, and someone who is known for their work as a television actor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) fo... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of Di Botcher:
- Professional: television personality and actress
- Notable work: appeared in TV series like "Torchwood"
- Family: possible relationships not prominently known but explore known siblings or relatives
- Collaborations: co-actors in shows or films she has appeared i... | [
"<think>\n1. Enumerate facets of Di Botcher:\n - Professional: television personality and actress\n - Notable work: appeared in TV series like \"Torchwood\"\n - Family: possible relationships not prominently known but explore known siblings or relatives\n - Collaborations: co-actors in shows or films she ha... | [
" [acted in] torchwood | torchwood [cast includes] john barrowman | john barrowman [occupation] television actor",
" [acted in] doctor who | doctor who [cast includes] david tennant | david tennant [occupation] television actor",
" [employed by] bbc | bbc [employs] benedict cumberbatch | benedict cumberbatch [o... | [[["di botcher", "acted in", "torchwood"], ["torchwood", "cast includes", "john barrowman"], ["john barrowman", "occupation", "television actor"]], [["di botcher", "acted in", "doctor who"], ["doctor who", "cast includes", "david tennant"], ["david tennant", "occupation", "television actor"]], [["di botcher", "employed... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002718 | 26.14 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:37:23.256260 | |
What are different ways of connecting Django Unchained, the film, and someone who provided the voice for an instrument in that movie? | Django Unchained | voice | instrument | Query: What are different ways of connecting Django Unchained, the film, and someone who provided the voice for an instrument in that movie?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of "Django Unchained":
- Professional/Occupational: Directed by Quentin Tarantino, starring actors like Jamie Foxx, Christoph Waltz.
- Awards/Honors: Won Academy Awards, Golden Globes.
- Collaborative Work: Tarantino collaborated with composer Ennio Morricone, who also worked as a musician b... | [
"<think>\n1. Enumerate facets of \"Django Unchained\":\n- Professional/Occupational: Directed by Quentin Tarantino, starring actors like Jamie Foxx, Christoph Waltz.\n- Awards/Honors: Won Academy Awards, Golden Globes.\n- Collaborative Work: Tarantino collaborated with composer Ennio Morricone, who also worked as a... | [
" [directed by] quentin tarantino | quentin tarantino [collaborated with] ennio morricone | ennio morricone [instrument] voice",
" [soundtrack composer] ennio morricone | ennio morricone [instrument] voice",
" [actor] jamie foxx | jamie foxx [singer] instrument | instrument [voice] voice",
" [produced by] wei... | [[["django unchained", "directed by", "quentin tarantino"], ["quentin tarantino", "collaborated with", "ennio morricone"], ["ennio morricone", "instrument", "voice"]], [["django unchained", "soundtrack composer", "ennio morricone"], ["ennio morricone", "instrument", "voice"]], [["django unchained", "actor", "jamie foxx... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003205 | 26.11 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:37:49.364125 | |
What are different ways of connecting David Duchovny, the American actor, and someone who holds Polish citizenship? | David Duchovny | Poland | country of citizenship | Query: What are different ways of connecting David Duchovny, the American actor, and someone who holds Polish citizenship?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chai... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["David Duchovny", "has paternal grandfather", "Amram Duchovny's father"],
["Amram Duchovny's father", "country of citizenship", "Poland"]
],
"2": [
["David Duchovny", "acting role in", "The X-Files"],
["The X-Files", "directed by", "Rob Bowman"],
["Rob Bowman", "born in", "C... |
1. Enumerated facets of David Duchovny:
- Profession: Actor (noted for TV like "The X-Files")
- Awards: Golden Globe Award winner
- Family: Son of Amram (father), mother Margaret; paternal grandfather was of Polish Jewish descent
- Education: Princeton University (English literature), Yale University (film... | [
"\n<answer>{\n \"1\": [\n [\"David Duchovny\", \"has paternal grandfather\", \"Amram Duchovny's father\"],\n [\"Amram Duchovny's father\", \"country of citizenship\", \"Poland\"]\n ],\n \"2\": [\n [\"David Duchovny\", \"acting role in\", \"The X-Files\"],\n [\"The X-Files\", \"directed by\", \"Rob Bo... | [
" [has paternal grandfather] amram duchovny's father | amram duchovny's father [country of citizenship] poland",
" [acting role in] the x-files | the x-files [directed by] rob bowman | rob bowman [born in] canada | canada [has sister country with shared citizenship treaty] poland",
" [co-starred with] mira furl... | [[["david duchovny", "has paternal grandfather", "amram duchovny's father"], ["amram duchovny's father", "country of citizenship", "poland"]], [["david duchovny", "acting role in", "the x-files"], ["the x-files", "directed by", "rob bowman"], ["rob bowman", "born in", "canada"], ["canada", "has sister country with shar... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002927 | 25.49 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:38:14.856094 |
What are different ways of connecting Sönke Möhring, the German actor, and someone who is a citizen of the United States of America? | Sönke Möhring | United States of America | country of citizenship | Query: What are different ways of connecting Sönke Möhring, the German actor, and someone who is a citizen of the United States of America?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Sönke Möhring", "acted in", "The Counterfeiters (2007 film)"],
["The Counterfeiters (2007 film)", "featured actor", "Marty Woldson"],
["Marty Woldson", "country of citizenship", "United States of America"]
],
"2": [
["Sönke Möhring", "sibling", "Wotan Wilke Möhring"],
["Wot... |
Enumerate facets of Sönke Möhring to create diverse connection paths to a U.S. citizen:
1. Professional/Occupational: Actor in German cinema and TV.
2. Family/Personal: Brother of actor Wotan Wilke Möhring.
3. Geographic: Born in Germany, specifically in Herford, North Rhine-Westphalia.
4. Collaborative work: Worked w... | [
"\n<answer>{\n \"1\": [\n [\"Sönke Möhring\", \"acted in\", \"The Counterfeiters (2007 film)\"],\n [\"The Counterfeiters (2007 film)\", \"featured actor\", \"Marty Woldson\"],\n [\"Marty Woldson\", \"country of citizenship\", \"United States of America\"]\n ],\n \"2\": [\n [\"Sönke Möhring\", \"sibli... | [
" [acted in] the counterfeiters (2007 film) | the counterfeiters (2007 film) [featured actor] marty woldson | marty woldson [country of citizenship] united states of america",
" [sibling] wotan wilke möhring | wotan wilke möhring [acted with] kate winslet | kate winslet [country of citizenship] united states of a... | [[["s\u00f6nke m\u00f6hring", "acted in", "the counterfeiters (2007 film)"], ["the counterfeiters (2007 film)", "featured actor", "marty woldson"], ["marty woldson", "country of citizenship", "united states of america"]], [["s\u00f6nke m\u00f6hring", "sibling", "wotan wilke m\u00f6hring"], ["wotan wilke m\u00f6hring", ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
1
] | 11 | 0.002996 | 30.08 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:38:44.932925 |
What are different ways of connecting Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom? | Paul Henreid | United Kingdom | country of citizenship | Query: What are different ways of connecting Paul Henreid, the Austrian-American actor, and someone who holds citizenship in the United Kingdom?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) for... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of Paul Henreid:
- Professional: actor, director
- Awards: Academy Award nomination (best supporting actor for "Now, Voyager")
- Family/personal: born in Trieste (then Austro-Hungarian Empire), parents Austrian nobility
- Geography: born in Europe (Trieste), lived in USA and Austria
- Collab... | [
"<think>\n1. Enumerate facets of Paul Henreid:\n- Professional: actor, director\n- Awards: Academy Award nomination (best supporting actor for \"Now, Voyager\")\n- Family/personal: born in Trieste (then Austro-Hungarian Empire), parents Austrian nobility\n- Geography: born in Europe (Trieste), lived in USA and Aust... | [
" [acted in] casablanca | casablanca [co-starred] claude rains | claude rains [country of citizenship] united kingdom",
" [acted in] the letter (1940 film) | the letter (1940 film) [co-starred] herbert marshall | herbert marshall [country of citizenship] united kingdom",
" [acted in] notorious | notorious [dire... | [[["paul henreid", "acted in", "casablanca"], ["casablanca", "co-starred", "claude rains"], ["claude rains", "country of citizenship", "united kingdom"]], [["paul henreid", "acted in", "the letter (1940 film)"], ["the letter (1940 film)", "co-starred", "herbert marshall"], ["herbert marshall", "country of citizenship",... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003976 | 32.36 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:39:17.289646 | |
What are different ways of connecting Shia LaBeouf, the American actor, and someone who was born in Baltimore? | Shia LaBeouf | Baltimore | place of birth | Query: What are different ways of connecting Shia LaBeouf, the American actor, and someone who was born in Baltimore?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain tha... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Shia LaBeouf", "member of", "Academy of Motion Picture Arts and Sciences"],
["Academy of Motion Picture Arts and Sciences", "member includes", "John Waters (filmmaker)"],
["John Waters (filmmaker)", "born in", "Baltimore"]
],
"2": [
["Shia LaBeouf", "won awar... |
1. Enumerate facets for Shia LaBeouf:
- Professional: actor, director, writer
- Awards: Young Artist Award, MTV Movie Award
- Family: father (Shayne LaBeouf), mother (Sharon LaBeouf)
- Collaborations: worked with actors/directors like Michael Bay, Steven Spielberg
- Geographic: born in Los Angeles, Califor... | [
" \n<answer> \n{ \n \"1\": [ \n [\"Shia LaBeouf\", \"member of\", \"Academy of Motion Picture Arts and Sciences\"], \n [\"Academy of Motion Picture Arts and Sciences\", \"member includes\", \"John Waters (filmmaker)\"], \n [\"John Waters (filmmaker)\", \"born in\", \"Baltimore\"] \n ], \n \"2\":... | [
" [member of] academy of motion picture arts and sciences | academy of motion picture arts and sciences [member includes] john waters (filmmaker) | john waters (filmmaker) [born in] baltimore",
" [won award] mtv movie award | mtv movie award [won by] jada pinkett smith | jada pinkett smith [born in] baltimore",
... | [[["shia labeouf", "member of", "academy of motion picture arts and sciences"], ["academy of motion picture arts and sciences", "member includes", "john waters (filmmaker)"], ["john waters (filmmaker)", "born in", "baltimore"]], [["shia labeouf", "won award", "mtv movie award"], ["mtv movie award", "won by", "jada pink... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003477 | 40.96 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:39:58.247035 |
What are different ways of connecting Tsui Hark, the renowned filmmaker, and someone who is known for their work as a presenter? | Tsui Hark | presenter | occupation | Query: What are different ways of connecting Tsui Hark, the renowned filmmaker, and someone who is known for their work as a presenter?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a co... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Tsui Hark", "married to", "Esther Kwan"],
["Esther Kwan", "occupation", "presenter"]
],
"2": [
["Tsui Hark", "born in", "Hong Kong"],
["Hong Kong", "home to", "TVB"],
["TVB", "employed", "Eric Tsang"],
["Eric Tsang", "occupation", "presenter"]
... |
1. Facets of Tsui Hark:
- Profession: filmmaker, director, producer, screenwriter
- Awards: Hong Kong Film Awards, Golden Horse Awards
- Family: possibly known family members or spouses
- Organizations: founded or worked with film companies (e.g., Film Workshop)
- Geography: born/operated in Hong Kong
- ... | [
" \n<answer> \n{ \n \"1\": [ \n [\"Tsui Hark\", \"married to\", \"Esther Kwan\"], \n [\"Esther Kwan\", \"occupation\", \"presenter\"] \n ], \n \"2\": [ \n [\"Tsui Hark\", \"born in\", \"Hong Kong\"], \n [\"Hong Kong\", \"home to\", \"TVB\"], \n [\"TVB\", \"employed\", \"Eric Tsang\"], \... | [
" [married to] esther kwan | esther kwan [occupation] presenter",
" [born in] hong kong | hong kong [home to] tvb | tvb [employed] eric tsang | eric tsang [occupation] presenter",
" [studied at] london film school | london film school [alumni] david frost | david frost [occupation] presenter",
" [directed] an... | [[["tsui hark", "married to", "esther kwan"], ["esther kwan", "occupation", "presenter"]], [["tsui hark", "born in", "hong kong"], ["hong kong", "home to", "tvb"], ["tvb", "employed", "eric tsang"], ["eric tsang", "occupation", "presenter"]], [["tsui hark", "studied at", "london film school"], ["london film school", "a... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003362 | 47.71 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:40:45.957414 |
What are different ways of connecting The School for Good and Evil, a popular fantasy series, and someone who was educated at Herricks High School? | The School for Good and Evil | Herricks High School | educated at | Query: What are different ways of connecting The School for Good and Evil, a popular fantasy series, and someone who was educated at Herricks High School?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship,... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["The School for Good and Evil", "authored by", "Soman Chainani"],
["Soman Chainani", "collaborated with", "Jackson Kelly (editor)"],
["Jackson Kelly", "educated at", "Herricks High School"]
],
"2": [
["The School for Good and Evil", "published by", "HarperCollins"],
["Harpe... |
1. Enumerate facets of "The School for Good and Evil":
- Author: Soman Chainani
- Series type: fantasy book series
- Publisher: HarperCollins
- Adaptation: Netflix film (2022)
- Setting: fictional school with magical realm connection
- Awards: Goodreads Choice Awards finalist
- Collaborators: Cast of Netflix adaptatio... | [
"\n<answer>\n{\n \"1\": [\n [\"The School for Good and Evil\", \"authored by\", \"Soman Chainani\"],\n [\"Soman Chainani\", \"collaborated with\", \"Jackson Kelly (editor)\"],\n [\"Jackson Kelly\", \"educated at\", \"Herricks High School\"]\n ],\n \"2\": [\n [\"The School for Good and Evil\", \"publi... | [
" [authored by] soman chainani | soman chainani [collaborated with] jackson kelly (editor) | jackson kelly [educated at] herricks high school",
" [published by] harpercollins | harpercollins [employs] maria torres (literary agent) | maria torres [educated at] herricks high school",
" [adapted into] the school f... | [[["the school for good and evil", "authored by", "soman chainani"], ["soman chainani", "collaborated with", "jackson kelly (editor)"], ["jackson kelly", "educated at", "herricks high school"]], [["the school for good and evil", "published by", "harpercollins"], ["harpercollins", "employs", "maria torres (literary agen... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
1,
1
] | 11 | 0.00313 | 27.9 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:41:13.857061 |
What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi? | Karin C. Berger | Arman T. Riahi | sibling | Query: What are different ways of connecting Karin C. Berger and someone who is the sibling of Arash T. Riahi?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begin... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Karin C. Berger", "produced film directed by", "Arash T. Riahi"],
["Arash T. Riahi", "sibling", "Arman T. Riahi"]
],
"2": [
["Karin C. Berger", "member of", "Austrian Film Academy"],
["Arash T. Riahi", "member of", "Austrian Film Academy"],
["Arash T. Riahi", "sibling", "A... |
1. Enumerate facets for Karin C. Berger:
- Profession: Film/TV producer, documentary producer
- Awards: Recipient of film production awards or festival recognition (assumed)
- Family: Related to artistic or film industry persons
- Institutional: Member or staff of film organizations or film festivals
- Geographic: Bas... | [
"\n<answer>\n{\n \"1\": [\n [\"Karin C. Berger\", \"produced film directed by\", \"Arash T. Riahi\"],\n [\"Arash T. Riahi\", \"sibling\", \"Arman T. Riahi\"]\n ],\n \"2\": [\n [\"Karin C. Berger\", \"member of\", \"Austrian Film Academy\"],\n [\"Arash T. Riahi\", \"member of\", \"Austrian Film Academ... | [
" [produced film directed by] arash t. riahi | arash t. riahi [sibling] arman t. riahi",
" [member of] austrian film academy | arash t. riahi [member of] austrian film academy | arash t. riahi [sibling] arman t. riahi",
" [lives in] vienna | arash t. riahi [lives in] vienna | arash t. riahi [sibling] arman t. r... | [[["karin c. berger", "produced film directed by", "arash t. riahi"], ["arash t. riahi", "sibling", "arman t. riahi"]], [["karin c. berger", "member of", "austrian film academy"], ["arash t. riahi", "member of", "austrian film academy"], ["arash t. riahi", "sibling", "arman t. riahi"]], [["karin c. berger", "lives in",... | 14 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 14 | 0.003666 | 54.15 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:42:08.009734 |
What are different ways of connecting Nicholas Britell, the composer known for his film scores, and someone who was nominated for the Academy Award for Best Picture? | Nicholas Britell | Academy Award for Best Picture | nominated for | Query: What are different ways of connecting Nicholas Britell, the composer known for his film scores, and someone who was nominated for the Academy Award for Best Picture?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (h... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Nicholas Britell", "composed music for", "Moonlight"],
["Moonlight", "nominated for", "Academy Award for Best Picture"]
],
"2": [
["Nicholas Britell", "composed music for", "If Beale Street Could Talk"],
["If Beale Street Could Talk", "nominated for", "Academy Award for Best Pi... |
1. Enumerate facets of Nicholas Britell:
- Professional: film and television composer, pianist
- Awards: nominated for multiple awards, including Oscars, Emmys
- Education: attended Harvard University, Yale School of Music
- Collaborative work: worked with directors like Barry Jenkins, Adam McKay
- Geographic: born in... | [
"\n<answer>{\n \"1\": [\n [\"Nicholas Britell\", \"composed music for\", \"Moonlight\"],\n [\"Moonlight\", \"nominated for\", \"Academy Award for Best Picture\"]\n ],\n \"2\": [\n [\"Nicholas Britell\", \"composed music for\", \"If Beale Street Could Talk\"],\n [\"If Beale Street Could Talk\", \"nomi... | [
" [composed music for] moonlight | moonlight [nominated for] academy award for best picture",
" [composed music for] if beale street could talk | if beale street could talk [nominated for] academy award for best picture",
" [composed music for] vice | vice [nominated for] academy award for best picture",
" [c... | [[["nicholas britell", "composed music for", "moonlight"], ["moonlight", "nominated for", "academy award for best picture"]], [["nicholas britell", "composed music for", "if beale street could talk"], ["if beale street could talk", "nominated for", "academy award for best picture"]], [["nicholas britell", "composed mus... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002889 | 20.56 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:42:28.577292 |
What are different ways of connecting Brad Wyman, a film producer, and someone who works as a television producer? | Brad Wyman | television producer | occupation | Query: What are different ways of connecting Brad Wyman, a film producer, and someone who works as a television producer?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Brad Wyman", "occupation", "film producer"],
["Brad Wyman", "produced film", "Monster (2003 film)"],
["Monster (2003 film)", "directed by", "Patty Jenkins"],
["Patty Jenkins", "occupation", "television producer"]
],
"2": [
["Brad Wyman", "occupation", "film producer"],
... |
1. Enumerate facets of Brad Wyman:
- Profession: film producer
- Collaborations: movies he produced, directors or actors he worked with
- Geographic base: where he worked/lived (e.g., possibly Los Angeles)
- Institutional membership: possible film/production guilds (e.g., Producers Guild of America)
- Award nomination... | [
"\n<answer>\n{\n \"1\": [\n [\"Brad Wyman\", \"occupation\", \"film producer\"],\n [\"Brad Wyman\", \"produced film\", \"Monster (2003 film)\"],\n [\"Monster (2003 film)\", \"directed by\", \"Patty Jenkins\"],\n [\"Patty Jenkins\", \"occupation\", \"television producer\"]\n ],\n \"2\": [\n [\"Brad... | [
" [occupation] film producer | brad wyman [produced film] monster (2003 film) | monster (2003 film) [directed by] patty jenkins | patty jenkins [occupation] television producer",
" [occupation] film producer | brad wyman [produced film] the cooler (2003 film) | the cooler (2003 film) [starred actor] william h. ma... | [[["brad wyman", "occupation", "film producer"], ["brad wyman", "produced film", "monster (2003 film)"], ["monster (2003 film)", "directed by", "patty jenkins"], ["patty jenkins", "occupation", "television producer"]], [["brad wyman", "occupation", "film producer"], ["brad wyman", "produced film", "the cooler (2003 fil... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.00267 | 23.43 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:42:52.012863 |
What are different ways of connecting Rasťo Šesták, the Slovak athlete, and someone who was born in Jablonec nad Nisou? | Rasťo Šesták | Jablonec nad Nisou | place of birth | Query: What are different ways of connecting Rasťo Šesták, the Slovak athlete, and someone who was born in Jablonec nad Nisou?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Rasťo Šesták", "competed against", "Jaroslav Kulhavý"],
["Jaroslav Kulhavý", "place of birth", "Jablonec nad Nisou"]
],
"2": [
["Rasťo Šesták", "competed at", "European Athletics Championships 2010"],
["European Athletics Championships 2010", "hosted in", "Barcelona"],
["B... |
Step 1: Enumerate facets of Rasťo Šesták:
- Professional: Slovak athlete (mainly sprinter and long jumper)
- Awards: Participation and medals in athletics events (potentially European Championships, Universiade, Olympics)
- Family/personal: Potentially limited public info; maybe Slovak nationality or ethnicity
- Insti... | [
"\n\n<answer>{\n \"1\": [\n [\"Rasťo Šesták\", \"competed against\", \"Jaroslav Kulhavý\"],\n [\"Jaroslav Kulhavý\", \"place of birth\", \"Jablonec nad Nisou\"]\n ],\n \"2\": [\n [\"Rasťo Šesták\", \"competed at\", \"European Athletics Championships 2010\"],\n [\"European Athletics Championships 2010... | [
" [competed against] jaroslav kulhavý | jaroslav kulhavý [place of birth] jablonec nad nisou",
" [competed at] european athletics championships 2010 | european athletics championships 2010 [hosted in] barcelona | barcelona [sister city of] jablonec nad nisou | jablonec nad nisou [place of birth] jablonec nad niso... | [[["ras\u0165o \u0161est\u00e1k", "competed against", "jaroslav kulhav\u00fd"], ["jaroslav kulhav\u00fd", "place of birth", "jablonec nad nisou"]], [["ras\u0165o \u0161est\u00e1k", "competed at", "european athletics championships 2010"], ["european athletics championships 2010", "hosted in", "barcelona"], ["barcelona",... | 12 | [
1,
1,
1,
1,
1,
1,
0,
0,
1,
0,
1,
0
] | 8 | 0.004029 | 33.22 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:43:25.236508 |
What are different ways of connecting Bob Weinstein, a film producer, and someone who works as a producer in the film industry? | Bob Weinstein | producer | occupation | Query: What are different ways of connecting Bob Weinstein, a film producer, and someone who works as a producer in the film industry?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a con... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate different facets of Bob Weinstein:
- Professional occupation: film producer, co-founder of Miramax and The Weinstein Company
- Family: brother Harvey Weinstein (also a film producer)
- Collaborations: worked on films such as "Pulp Fiction"
- Awards: Miramax won Oscars and Golden Globes
- Institutio... | [
"<think>\n1. Enumerate different facets of Bob Weinstein:\n- Professional occupation: film producer, co-founder of Miramax and The Weinstein Company\n- Family: brother Harvey Weinstein (also a film producer)\n- Collaborations: worked on films such as \"Pulp Fiction\"\n- Awards: Miramax won Oscars and Golden Globes\... | [
" [occupation] producer",
" [brother] harvey weinstein | harvey weinstein [occupation] producer",
" [co-founder of] miramax films | miramax films [employs] producer",
" [co-founder of] the weinstein company | the weinstein company [employs] producer",
" [produced] pulp fiction | pulp fiction [director] quen... | [[["bob weinstein", "occupation", "producer"]], [["bob weinstein", "brother", "harvey weinstein"], ["harvey weinstein", "occupation", "producer"]], [["bob weinstein", "co-founder of", "miramax films"], ["miramax films", "employs", "producer"]], [["bob weinstein", "co-founder of", "the weinstein company"], ["the weinste... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002373 | 17.14 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:43:42.374737 | |
What are different ways of connecting Brent Miller, and someone who is a director by profession? | Brent Miller | director | occupation | Query: What are different ways of connecting Brent Miller, and someone who is a director by profession?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Brent Miller", "acted in", "Ninjago: Masters of Spinjitzu"],
["Ninjago: Masters of Spinjitzu", "directed by", "Martin Skov"],
["Martin Skov", "occupation", "director"]
],
"2": [
["Brent Miller", "produced", "voice short film 'Lost Socks'"],
["voice short film 'Lost Socks'"... |
1. ENUMERATE FACETS for Brent Miller:
- Professional roles: voice actor, actor, producer
- Awards: possibly nominated or awarded in voice acting or film festivals
- Family/personal: relations if known (e.g., spouse, siblings who might have director roles)
- Institutional/organizational affiliations: membership in acti... | [
"\n<answer>\n{\n \"1\": [\n [\"Brent Miller\", \"acted in\", \"Ninjago: Masters of Spinjitzu\"],\n [\"Ninjago: Masters of Spinjitzu\", \"directed by\", \"Martin Skov\"],\n [\"Martin Skov\", \"occupation\", \"director\"]\n ],\n \"2\": [\n [\"Brent Miller\", \"produced\", \"voice short film 'Lost Socks... | [
" [acted in] ninjago: masters of spinjitzu | ninjago: masters of spinjitzu [directed by] martin skov | martin skov [occupation] director",
" [produced] voice short film 'lost socks' | voice short film 'lost socks' [directed by] amanda tasse | amanda tasse [occupation] director",
" [member of] union of british c... | [[["brent miller", "acted in", "ninjago: masters of spinjitzu"], ["ninjago: masters of spinjitzu", "directed by", "martin skov"], ["martin skov", "occupation", "director"]], [["brent miller", "produced", "voice short film 'lost socks'"], ["voice short film 'lost socks'", "directed by", "amanda tasse"], ["amanda tasse",... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002229 | 18.74 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:44:01.119448 |
What are different ways of connecting Suely in the Sky, a notable figure in the film industry, and someone who has received the German Film Award? | Suely in the Sky | German Film Award | award received | Query: What are different ways of connecting Suely in the Sky, a notable figure in the film industry, and someone who has received the German Film Award?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of 'Suely in the Sky':
- Professional role: film director, actress, writer (if known)
- Awards/honors: any awards attributed, possibly German Film Award recipients
- Family/personal: possible relatives in film or known collaborators
- Institutional/organizational: affiliations with film stud... | [
"<think>\n1. Enumerate facets of 'Suely in the Sky':\n- Professional role: film director, actress, writer (if known)\n- Awards/honors: any awards attributed, possibly German Film Award recipients\n- Family/personal: possible relatives in film or known collaborators\n- Institutional/organizational: affiliations with... | [
" [directed by] karim aïnouz | karim aïnouz [award received] german film award",
" [premiered at] berlin international film festival | berlin international film festival [awarded] german film award",
" [starred] fernanda montenegro | fernanda montenegro [award received] german film award",
" [produced by] pro... | [[["suely in the sky", "directed by", "karim a\u00efnouz"], ["karim a\u00efnouz", "award received", "german film award"]], [["suely in the sky", "premiered at", "berlin international film festival"], ["berlin international film festival", "awarded", "german film award"]], [["suely in the sky", "starred", "fernanda mont... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.00348 | 30.86 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:44:31.985581 | |
What are different ways of connecting Michael Winner, the British film director, and someone who was born in Tiberias? | Michael Winner | Tiberias | place of birth | Query: What are different ways of connecting Michael Winner, the British film director, and someone who was born in Tiberias?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous c... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Step 1: Enumerate facets/domains for Michael Winner:
- Professional/occupational: British film director, film producer
- Awards/honors: BAFTA winner, Golden Globe nominations
- Family/personal: Son is Andrew Winner; father was a barrister
- Educational: Studied at Oxford University, attended Magdalen College
- ... | [
"<think>\nStep 1: Enumerate facets/domains for Michael Winner:\n- Professional/occupational: British film director, film producer\n- Awards/honors: BAFTA winner, Golden Globe nominations\n- Family/personal: Son is Andrew Winner; father was a barrister\n- Educational: Studied at Oxford University, attended Magdalen ... | [
" [directed] the jokers | the jokers [starred actor] stephen boyd | stephen boyd [born in] tiberias",
" [attended] magdalen college, oxford | magdalen college, oxford [alumni] eliyahu bet-zuri | eliyahu bet-zuri [born in] tiberias",
" [patron of] jewish national fund uk | jewish national fund uk [founded by] me... | [[["michael winner", "directed", "the jokers"], ["the jokers", "starred actor", "stephen boyd"], ["stephen boyd", "born in", "tiberias"]], [["michael winner", "attended", "magdalen college, oxford"], ["magdalen college, oxford", "alumni", "eliyahu bet-zuri"], ["eliyahu bet-zuri", "born in", "tiberias"]], [["michael win... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003534 | 27.62 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:44:59.618888 | |
What are different ways of connecting Corey Yuen, the renowned action choreographer and director, and someone who is a film actor? | Corey Yuen | film actor | occupation | Query: What are different ways of connecting Corey Yuen, the renowned action choreographer and director, and someone who is a film actor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Corey Yuen", "sibling", "Yuen Wah"],
["Yuen Wah", "occupation", "film actor"]
],
"2": [
["Corey Yuen", "worked with", "Jackie Chan"],
["Jackie Chan", "occupation", "film actor"]
],
"3": [
["Corey Yuen", "worked with", "Jet Li"],
["Jet Li", "occupation", "film actor"... |
1. Enumerate facets of Corey Yuen:
- Professional: action choreographer, director, actor
- Collaborations: worked with Jackie Chan, Jet Li, Michelle Yeoh, etc.
- Geographic: Hong Kong, Hong Kong cinema industry
- Awards: Hong Kong Film Awards (nominations, wins)
- Family/personal: younger brother Yuen Wah (film actor)... | [
"\n<answer>{\n \"1\": [\n [\"Corey Yuen\", \"sibling\", \"Yuen Wah\"],\n [\"Yuen Wah\", \"occupation\", \"film actor\"]\n ],\n \"2\": [\n [\"Corey Yuen\", \"worked with\", \"Jackie Chan\"],\n [\"Jackie Chan\", \"occupation\", \"film actor\"]\n ],\n \"3\": [\n [\"Corey Yuen\", \"worked with\", \"... | [
" [sibling] yuen wah | yuen wah [occupation] film actor",
" [worked with] jackie chan | jackie chan [occupation] film actor",
" [worked with] jet li | jet li [occupation] film actor",
" [mentored] donnie yen | donnie yen [occupation] film actor",
" [trained at] peking opera school | peking opera school [alu... | [[["corey yuen", "sibling", "yuen wah"], ["yuen wah", "occupation", "film actor"]], [["corey yuen", "worked with", "jackie chan"], ["jackie chan", "occupation", "film actor"]], [["corey yuen", "worked with", "jet li"], ["jet li", "occupation", "film actor"]], [["corey yuen", "mentored", "donnie yen"], ["donnie yen", "o... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002982 | 23.75 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:45:23.373904 |
What are different ways of connecting Steven Molaro, a television writer and producer, and someone who has received the Exceptional Public Achievement Medal? | Steven Molaro | Exceptional Public Achievement Medal | award received | Query: What are different ways of connecting Steven Molaro, a television writer and producer, and someone who has received the Exceptional Public Achievement Medal?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rel... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets / distinct aspects of Steven Molaro:
- Profession: Television writer and producer (notably for The Big Bang Theory, Young Sheldon).
- Awards: Has received Emmy nominations (also possible other TV-related awards).
- Collaborations: Works with Chuck Lorre extensively.
- Education: Attended Uni... | [
"<think>\n1. Enumerate facets / distinct aspects of Steven Molaro:\n- Profession: Television writer and producer (notably for The Big Bang Theory, Young Sheldon).\n- Awards: Has received Emmy nominations (also possible other TV-related awards).\n- Collaborations: Works with Chuck Lorre extensively.\n- Education: At... | [
" [worked on] the big bang theory | the big bang theory [consulted by] david saltzberg | david saltzberg [award received] exceptional public achievement medal",
" [collaborated with] chuck lorre | chuck lorre [collaborated with] mayim bialik | mayim bialik [contributed to] public science education | mayim bialik ... | [[["steven molaro", "worked on", "the big bang theory"], ["the big bang theory", "consulted by", "david saltzberg"], ["david saltzberg", "award received", "exceptional public achievement medal"]], [["steven molaro", "collaborated with", "chuck lorre"], ["chuck lorre", "collaborated with", "mayim bialik"], ["mayim biali... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0
] | 11 | 0.002719 | 20.15 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:45:43.529645 | |
What are different ways of connecting Amanda Posey, a film producer, and someone who works as a film editor? | Amanda Posey | film editor | occupation | Query: What are different ways of connecting Amanda Posey, a film producer, and someone who works as a film editor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Amanda Posey", "produced film", "An Education"],
["An Education", "edited by", "Nick Moore (film editor)"],
["Nick Moore (film editor)", "occupation", "film editor"]
],
"2": [
["Amanda Posey", "spouse", "Mike Leigh"],
["Mike Leigh", "directed film", "Peterloo"],
["Pete... |
1. Enumerate facets of Amanda Posey:
- Professional: Film producer, known for producing several films.
- Collaborations: Frequent collaborator with director Mike Leigh.
- Awards: Nominated for Academy Awards (e.g., Best Picture for "An Education").
- Family: Married to director Mike Leigh.
- Geographic: British film i... | [
"\n<answer>\n{\n \"1\": [\n [\"Amanda Posey\", \"produced film\", \"An Education\"],\n [\"An Education\", \"edited by\", \"Nick Moore (film editor)\"],\n [\"Nick Moore (film editor)\", \"occupation\", \"film editor\"]\n ],\n \"2\": [\n [\"Amanda Posey\", \"spouse\", \"Mike Leigh\"],\n [\"Mike Leig... | [
" [produced film] an education | an education [edited by] nick moore (film editor) | nick moore (film editor) [occupation] film editor",
" [spouse] mike leigh | mike leigh [directed film] peterloo | peterloo [edited by] jon gregory | jon gregory [occupation] film editor",
" [produced film] mr. turner | mr. turn... | [[["amanda posey", "produced film", "an education"], ["an education", "edited by", "nick moore (film editor)"], ["nick moore (film editor)", "occupation", "film editor"]], [["amanda posey", "spouse", "mike leigh"], ["mike leigh", "directed film", "peterloo"], ["peterloo", "edited by", "jon gregory"], ["jon gregory", "o... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
1
] | 11 | 0.00223 | 17.55 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:46:01.088409 |
What are different ways of connecting Allison Abbate, a notable producer, and someone who received an award at the Empire Awards? | Allison Abbate | Empire Awards | award received | Query: What are different ways of connecting Allison Abbate, a notable producer, and someone who received an award at the Empire Awards?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a c... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Allison Abbate", "produced", "Fantastic Mr. Fox"],
["Fantastic Mr. Fox", "starred", "George Clooney"],
["George Clooney", "received award", "Empire Awards"]
],
"2": [
["Allison Abbate", "worked with", "Tim Burton"],
["Tim Burton", "directed", "Batman Returns"],
["Batma... |
1. Enumerate facets of Allison Abbate:
- Occupation: Film Producer, Animation Producer
- Collaborations: Worked with directors like Tim Burton, Terry Gilliam, Hayao Miyazaki
- Filmography: Produced movies such as "The Iron Giant," "The Nightmare Before Christmas," "Corpse Bride," "Fantastic Mr. Fox"
- Awards: Nomi... | [
"\n\n<answer>{\n \"1\": [\n [\"Allison Abbate\", \"produced\", \"Fantastic Mr. Fox\"],\n [\"Fantastic Mr. Fox\", \"starred\", \"George Clooney\"],\n [\"George Clooney\", \"received award\", \"Empire Awards\"]\n ],\n \"2\": [\n [\"Allison Abbate\", \"worked with\", \"Tim Burton\"],\n [\"Tim Burton\... | [
" [produced] fantastic mr. fox | fantastic mr. fox [starred] george clooney | george clooney [received award] empire awards",
" [worked with] tim burton | tim burton [directed] batman returns | batman returns [starred] michael keaton | michael keaton [received award] empire awards",
" [produced] corpse bride | ... | [[["allison abbate", "produced", "fantastic mr. fox"], ["fantastic mr. fox", "starred", "george clooney"], ["george clooney", "received award", "empire awards"]], [["allison abbate", "worked with", "tim burton"], ["tim burton", "directed", "batman returns"], ["batman returns", "starred", "michael keaton"], ["michael ke... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002968 | 24.29 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:46:25.383549 |
What are different ways of connecting Charles Miller, the Brazilian football pioneer, and someone who holds citizenship in Romania? | Charles Miller | Romania | country of citizenship | Query: What are different ways of connecting Charles Miller, the Brazilian football pioneer, and someone who holds citizenship in Romania?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Charles Miller", "born in", "São Paulo"],
["São Paulo", "located in", "Brazil"],
["Brazil", "has diplomatic relations with", "Romania"],
["Romania", "country of citizenship", "Romania"]
],
"2": [
["Charles Miller", "parents origin", "Scotland"],
["Scotland", "part of", ... |
1. Enumerate facets of Charles Miller:
- Professional: football pioneer, player, coach
- Geographic: born in São Paulo, Brazil; lived/studied in England
- Educational: attended school in England (Lancing College)
- Institutional: founder/founder member of São Paulo Athletic Club
- Historical events: introduction of fo... | [
"\n<answer>{\n \"1\": [\n [\"Charles Miller\", \"born in\", \"São Paulo\"],\n [\"São Paulo\", \"located in\", \"Brazil\"],\n [\"Brazil\", \"has diplomatic relations with\", \"Romania\"],\n [\"Romania\", \"country of citizenship\", \"Romania\"]\n ],\n \"2\": [\n [\"Charles Miller\", \"parents origi... | [
" [born in] são paulo | são paulo [located in] brazil | brazil [has diplomatic relations with] romania | romania [country of citizenship] romania",
" [parents origin] scotland | scotland [part of] united kingdom | united kingdom [has romanian immigrants] romanian diaspora in uk | romanian diaspora in uk [country ... | [[["charles miller", "born in", "s\u00e3o paulo"], ["s\u00e3o paulo", "located in", "brazil"], ["brazil", "has diplomatic relations with", "romania"], ["romania", "country of citizenship", "romania"]], [["charles miller", "parents origin", "scotland"], ["scotland", "part of", "united kingdom"], ["united kingdom", "has ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
0
] | 8 | 0.002968 | 27.37 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:46:52.754916 |
What are different ways of connecting Bo Diddley, the influential musician, and someone who has scored films in a category related to Ravi Shankar? | Bo Diddley | Category:Films scored by Ravi Shankar | related category | Query: What are different ways of connecting Bo Diddley, the influential musician, and someone who has scored films in a category related to Ravi Shankar?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship,... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Bo Diddley", "influenced", "George Harrison"],
["George Harrison", "studied sitar with", "Ravi Shankar"],
["Ravi Shankar", "related category", "Category:Films scored by Ravi Shankar"]
],
"2": [
["Bo Diddley", "influenced", "The Beatles"],
["The Beatles", "associated with", ... |
First, let's enumerate distinct facets of Bo Diddley:
1. Professional/occupational: blues and rock and roll musician, guitarist, singer-songwriter.
2. Collaborations: Worked with Chuck Berry; influenced many rock musicians.
3. Geographic/place-based: Born in Mississippi; worked primarily in Chicago.
4. Awards/honors: ... | [
"\n<answer>{\n \"1\": [\n [\"Bo Diddley\", \"influenced\", \"George Harrison\"],\n [\"George Harrison\", \"studied sitar with\", \"Ravi Shankar\"],\n [\"Ravi Shankar\", \"related category\", \"Category:Films scored by Ravi Shankar\"]\n ],\n \"2\": [\n [\"Bo Diddley\", \"influenced\", \"The Beatles\"]... | [
" [influenced] george harrison | george harrison [studied sitar with] ravi shankar | ravi shankar [related category] category:films scored by ravi shankar",
" [influenced] the beatles | the beatles [associated with] ravi shankar | ravi shankar [related category] category:films scored by ravi shankar",
" [collab... | [[["bo diddley", "influenced", "george harrison"], ["george harrison", "studied sitar with", "ravi shankar"], ["ravi shankar", "related category", "category:films scored by ravi shankar"]], [["bo diddley", "influenced", "the beatles"], ["the beatles", "associated with", "ravi shankar"], ["ravi shankar", "related catego... | 12 | [
1,
1,
1,
1,
0,
0,
0,
1,
1,
1,
1,
1
] | 9 | 0.003756 | 27.74 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:47:20.498625 |
What are different ways of connecting Stevie Wonder, the legendary musician, and someone who participated in Documenta 8? | Stevie Wonder | documenta 8 | participant in | Query: What are different ways of connecting Stevie Wonder, the legendary musician, and someone who participated in Documenta 8?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuou... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Step 1: Enumerate facets of Stevie Wonder:
1. Professional/Occupational: Renowned musician, singer-songwriter, multi-instrumentalist.
2. Awards/Honors: Multiple Grammy Awards winner.
3. Family/Personal: Has children; born in Saginaw, Michigan.
4. Institutional/Organizational: Member of Rock and Roll Hall of Fa... | [
"<think>\nStep 1: Enumerate facets of Stevie Wonder:\n\n1. Professional/Occupational: Renowned musician, singer-songwriter, multi-instrumentalist.\n2. Awards/Honors: Multiple Grammy Awards winner.\n3. Family/Personal: Has children; born in Saginaw, Michigan.\n4. Institutional/Organizational: Member of Rock and Roll... | [
" [won award] grammy award | grammy award [won by] laurie anderson | laurie anderson [participant in] documenta 8",
" [influenced] nam june paik | nam june paik [participant in] documenta 8",
" [collaborated with] philip glass | philip glass [participant in] documenta 8",
" [performed with] meredith monk | me... | [[["stevie wonder", "won award", "grammy award"], ["grammy award", "won by", "laurie anderson"], ["laurie anderson", "participant in", "documenta 8"]], [["stevie wonder", "influenced", "nam june paik"], ["nam june paik", "participant in", "documenta 8"]], [["stevie wonder", "collaborated with", "philip glass"], ["phili... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.004069 | 24.84 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:47:45.341979 | |
What are different ways of connecting Raymond Davis Jr., the American astrophysicist, and someone who is employed by Nagoya University? | Raymond Davis Jr. | Nagoya University | employer | Query: What are different ways of connecting Raymond Davis Jr., the American astrophysicist, and someone who is employed by Nagoya University?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) formi... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets/properties/roles of Raymond Davis Jr.:
- Professional: American astrophysicist, known for neutrino detection, chemist.
- Awards: Nobel Prize in Physics, 2002.
- Education: University of Michigan (PhD), also worked at Brookhaven National Lab.
- Institutional: Worked at Brookhaven National Lab... | [
"<think>\n1. Enumerate facets/properties/roles of Raymond Davis Jr.:\n- Professional: American astrophysicist, known for neutrino detection, chemist.\n- Awards: Nobel Prize in Physics, 2002.\n- Education: University of Michigan (PhD), also worked at Brookhaven National Lab.\n- Institutional: Worked at Brookhaven Na... | [
" [won award] nobel prize in physics | nobel prize in physics [shared with] masatoshi koshiba | masatoshi koshiba [employer] nagoya university",
" [worked at] brookhaven national laboratory | brookhaven national laboratory [collaborated with] nagoya university | nagoya university [employer] nagoya university",
... | [[["raymond davis jr.", "won award", "nobel prize in physics"], ["nobel prize in physics", "shared with", "masatoshi koshiba"], ["masatoshi koshiba", "employer", "nagoya university"]], [["raymond davis jr.", "worked at", "brookhaven national laboratory"], ["brookhaven national laboratory", "collaborated with", "nagoya ... | 12 | [
1,
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1
] | 11 | 0.002822 | 26.69 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:48:12.035935 | |
What are different ways of connecting Enrico Fermi, the renowned physicist, and someone who was a student of Hans Georg Dehmelt? | Enrico Fermi | Peter Brix | student of | Query: What are different ways of connecting Enrico Fermi, the renowned physicist, and someone who was a student of Hans Georg Dehmelt?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a co... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Enrico Fermi", "mentored", "Emilio Segrè"],
["Emilio Segrè", "mentored", "Hans Georg Dehmelt"],
["Hans Georg Dehmelt", "student of", "Peter Brix"]
],
"2": [
["Enrico Fermi", "worked at", "University of Chicago"],
["University of Chicago", "affiliated with", "Hans Georg Dehm... |
1. Facets of Enrico Fermi to explore:
- Professional: physicist, pioneer of nuclear physics
- Awards: Nobel Prize in Physics (1938)
- Family/personal: married to Laura Capon
- Institutional/organizational: University of Chicago, Los Alamos National Laboratory (Manhattan Project)
- Geographic: born in It... | [
"\n<answer>{\n \"1\": [\n [\"Enrico Fermi\", \"mentored\", \"Emilio Segrè\"],\n [\"Emilio Segrè\", \"mentored\", \"Hans Georg Dehmelt\"],\n [\"Hans Georg Dehmelt\", \"student of\", \"Peter Brix\"]\n ],\n \"2\": [\n [\"Enrico Fermi\", \"worked at\", \"University of Chicago\"],\n [\"University of Ch... | [
" [mentored] emilio segrè | emilio segrè [mentored] hans georg dehmelt | hans georg dehmelt [student of] peter brix",
" [worked at] university of chicago | university of chicago [affiliated with] hans georg dehmelt | hans georg dehmelt [student of] peter brix",
" [collaborated with] robert oppenheimer | robert ... | [[["enrico fermi", "mentored", "emilio segr\u00e8"], ["emilio segr\u00e8", "mentored", "hans georg dehmelt"], ["hans georg dehmelt", "student of", "peter brix"]], [["enrico fermi", "worked at", "university of chicago"], ["university of chicago", "affiliated with", "hans georg dehmelt"], ["hans georg dehmelt", "student ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002931 | 23.53 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:48:35.571541 |
What are different ways of connecting Lillian Gish, the silent film star, and someone who is the father of Byron Stevens? | Lillian Gish | Byron Stevens | father | Query: What are different ways of connecting Lillian Gish, the silent film star, and someone who is the father of Byron Stevens?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuou... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
("Lillian Gish", "acted in", "The Birth of a Nation"),
("The Birth of a Nation", "directed by", "D.W. Griffith"),
("D.W. Griffith", "employed actor", "Wilfrid Stevens"),
("Wilfrid Stevens", "father", "Byron Stevens")
],
"2": [
("Lillian Gish", "sister", "Dorothy Gish"),
... |
1. Enumerate facets of Lillian Gish:
- Professional: Silent film actress known for work in D.W. Griffith films such as "The Birth of a Nation," "Intolerance," "Broken Blossoms."
- Awards: Received honorary Academy Award, Women in Film Crystal Award, and other lifetime achievement awards.
- Family/Personal: Sis... | [
" \n<answer>{ \n\"1\": [ \n (\"Lillian Gish\", \"acted in\", \"The Birth of a Nation\"), \n (\"The Birth of a Nation\", \"directed by\", \"D.W. Griffith\"), \n (\"D.W. Griffith\", \"employed actor\", \"Wilfrid Stevens\"), \n (\"Wilfrid Stevens\", \"father\", \"Byron Stevens\") \n], \n\"2\": [ \n (\"Li... | [
" [acted in] the birth of a nation | the birth of a nation [directed by] d.w. griffith | d.w. griffith [employed actor] wilfrid stevens | wilfrid stevens [father] byron stevens",
" [sister] dorothy gish | dorothy gish [acted with] wilfrid stevens | wilfrid stevens [father] byron stevens",
" [received award] hon... | [[["lillian gish", "acted in", "the birth of a nation"], ["the birth of a nation", "directed by", "d.w. griffith"], ["d.w. griffith", "employed actor", "wilfrid stevens"], ["wilfrid stevens", "father", "byron stevens"]], [["lillian gish", "sister", "dorothy gish"], ["dorothy gish", "acted with", "wilfrid stevens"], ["w... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002904 | 21.94 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:48:57.511838 |
What are different ways of connecting Peter Naur, a notable figure in computer science, and someone who is recognized as an engineer? | Peter Naur | engineer | occupation | Query: What are different ways of connecting Peter Naur, a notable figure in computer science, and someone who is recognized as an engineer?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Peter Naur", "collaborated with", "John Backus"],
["John Backus", "occupation", "engineer"]
],
"2": [
["Peter Naur", "won award", "Turing Award"],
["Turing Award", "recipient", "Alan Turing"],
["Alan Turing", "occupation", "engineer"]
],
"3": [
["Peter Naur", "membe... |
Enumerating facets of Peter Naur:
1. Professional/occupational: Computer scientist, pioneer in programming languages (creator of Backus-Naur Form), Professor of Computer Science.
2. Awards/honors: Turing Award winner.
3. Family/personal: Danish nationality, lived in Denmark.
4. Institutional/organizational: Member of ... | [
"\n<answer>{\n \"1\": [\n [\"Peter Naur\", \"collaborated with\", \"John Backus\"],\n [\"John Backus\", \"occupation\", \"engineer\"]\n ],\n \"2\": [\n [\"Peter Naur\", \"won award\", \"Turing Award\"],\n [\"Turing Award\", \"recipient\", \"Alan Turing\"],\n [\"Alan Turing\", \"occupation\", \"eng... | [
" [collaborated with] john backus | john backus [occupation] engineer",
" [won award] turing award | turing award [recipient] alan turing | alan turing [occupation] engineer",
" [member of] university of copenhagen faculty | university of copenhagen faculty [includes] henrik dam | henrik dam [occupation] engine... | [[["peter naur", "collaborated with", "john backus"], ["john backus", "occupation", "engineer"]], [["peter naur", "won award", "turing award"], ["turing award", "recipient", "alan turing"], ["alan turing", "occupation", "engineer"]], [["peter naur", "member of", "university of copenhagen faculty"], ["university of cope... | 12 | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
1,
0,
1
] | 7 | 0.002181 | 14.16 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:49:11.669815 |
What are different ways of connecting William Henry Bragg, the renowned physicist, and someone who is the parent of Julia K. Steinberger? | William Henry Bragg | Julia K. Steinberger | child | Query: What are different ways of connecting William Henry Bragg, the renowned physicist, and someone who is the parent of Julia K. Steinberger?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) for... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of William Henry Bragg:
a. Professional/occupational: physicist, mathematician, pioneer in X-ray crystallography
b. Awards/honors: Nobel Prize in Physics (1915, jointly with his son William Lawrence Bragg)
c. Family/personal: father of William Lawrence Bragg; married to Gwendoline T... | [
"<think>\n1. Enumerate facets of William Henry Bragg:\n a. Professional/occupational: physicist, mathematician, pioneer in X-ray crystallography\n b. Awards/honors: Nobel Prize in Physics (1915, jointly with his son William Lawrence Bragg)\n c. Family/personal: father of William Lawrence Bragg; married to Gwe... | [
" [parent] william lawrence bragg | william lawrence bragg [parent] william thomas bragg | william thomas bragg [parent] julia k. steinberger",
" [professor at] university of adelaide | university of adelaide [alma mater of] julia's parent | julia's parent [parent] julia k. steinberger",
" [won nobel prize with... | [[["william henry bragg", "parent", "william lawrence bragg"], ["william lawrence bragg", "parent", "william thomas bragg"], ["william thomas bragg", "parent", "julia k. steinberger"]], [["william henry bragg", "professor at", "university of adelaide"], ["university of adelaide", "alma mater of", "julia's parent"], ["j... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003372 | 26.18 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:49:37.850106 | |
What are different ways of connecting Artie Shaw, the famous clarinetist and bandleader, and someone who is known for their work as an actor? | Artie Shaw | actor | occupation | Query: What are different ways of connecting Artie Shaw, the famous clarinetist and bandleader, and someone who is known for their work as an actor?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail)... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Artie Shaw", "spouse", "Lana Turner"],
["Lana Turner", "occupation", "actor"]
],
"2": [
["Artie Shaw", "spouse", "Ava Gardner"],
["Ava Gardner", "occupation", "actor"]
],
"3": [
["Artie Shaw", "born in", "New York City"],
["New York City", "birthplace of", "Al Pacin... |
Enumerate factual facets of Artie Shaw:
1. Profession: Clarinetist, bandleader, jazz musician
2. Awards: Grammy Hall of Fame (his recordings)
3. Family/Personal: married Lana Turner (actress)
4. Institutional/Organizational: member of Woody Herman's band
5. Geographic: born in New York City
6. Collaborative work: col... | [
"\n<answer>{\n \"1\": [\n [\"Artie Shaw\", \"spouse\", \"Lana Turner\"],\n [\"Lana Turner\", \"occupation\", \"actor\"]\n ],\n \"2\": [\n [\"Artie Shaw\", \"spouse\", \"Ava Gardner\"],\n [\"Ava Gardner\", \"occupation\", \"actor\"]\n ],\n \"3\": [\n [\"Artie Shaw\", \"born in\", \"New York City\... | [
" [spouse] lana turner | lana turner [occupation] actor",
" [spouse] ava gardner | ava gardner [occupation] actor",
" [born in] new york city | new york city [birthplace of] al pacino | al pacino [occupation] actor",
" [collaborated with] billie holiday | billie holiday [appeared in] broadway melody of 1940 |... | [[["artie shaw", "spouse", "lana turner"], ["lana turner", "occupation", "actor"]], [["artie shaw", "spouse", "ava gardner"], ["ava gardner", "occupation", "actor"]], [["artie shaw", "born in", "new york city"], ["new york city", "birthplace of", "al pacino"], ["al pacino", "occupation", "actor"]], [["artie shaw", "col... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.00301 | 22.01 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:49:59.864509 |
What are different ways of connecting William Wyler, the renowned film director, and someone who is known for their notable work in the film "Cast Away"? | William Wyler | Cast Away | notable work | Query: What are different ways of connecting William Wyler, the renowned film director, and someone who is known for their notable work in the film "Cast Away"?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relatio... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Facets of William Wyler:
1. Professional: Film director, known for directing classic films (e.g., "Ben-Hur," "The Best Years of Our Lives").
2. Awards: Won multiple Academy Awards (Best Director).
3. Family: Married to Margaret Sullavan (actress).
4. Institutional: Worked extensively with major studios (Paramou... | [
"<think>\nFacets of William Wyler:\n1. Professional: Film director, known for directing classic films (e.g., \"Ben-Hur,\" \"The Best Years of Our Lives\").\n2. Awards: Won multiple Academy Awards (Best Director).\n3. Family: Married to Margaret Sullavan (actress).\n4. Institutional: Worked extensively with major st... | [
" [directed] ben-hur | ben-hur [starred] charlton heston | charlton heston [acted with] tom hanks | tom hanks [notable work] cast away",
" [won award] academy award for best director | tom hanks [won award] golden globe for cast away | tom hanks [notable work] cast away",
" [directed for] paramount pictures | p... | [[["william wyler", "directed", "ben-hur"], ["ben-hur", "starred", "charlton heston"], ["charlton heston", "acted with", "tom hanks"], ["tom hanks", "notable work", "cast away"]], [["william wyler", "won award", "academy award for best director"], ["tom hanks", "won award", "golden globe for cast away"], ["tom hanks", ... | 12 | [
1,
0,
1,
1,
0,
1,
1,
1,
1,
1,
1,
1
] | 10 | 0.004291 | 46.19 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:50:46.061111 | |
What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry? | Morton Gould | Benny Carter discography | discography | Query: What are different ways of connecting Morton Gould, the American composer and conductor, and someone who has a notable discography in the music industry?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relatio... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Morton Gould", "collaborated with", "Benny Goodman"],
["Benny Goodman", "performed with", "Benny Carter"],
["Benny Carter", "discography", "Benny Carter discography"]
],
"2": [
["Morton Gould", "member of", "ASCAP"],
["ASCAP", "includes member", "Benny Car... |
Facets of Morton Gould to explore:
1. Professional: American composer and conductor, also pianist, arranger
2. Awards/Honors: Pulitzer Prize winner (1943), honorary doctorates
3. Family/Personal: Possibly relatives in music
4. Institutional/Organizational: Member of ASCAP, conductor of NYC Pops Orchestra, wo... | [
" \n<answer>{ \n \"1\": [ \n [\"Morton Gould\", \"collaborated with\", \"Benny Goodman\"], \n [\"Benny Goodman\", \"performed with\", \"Benny Carter\"], \n [\"Benny Carter\", \"discography\", \"Benny Carter discography\"] \n ], \n \"2\": [ \n [\"Morton Gould\", \"member of\", \"ASCAP\"], \n ... | [
" [collaborated with] benny goodman | benny goodman [performed with] benny carter | benny carter [discography] benny carter discography",
" [member of] ascap | ascap [includes member] benny carter | benny carter [discography] benny carter discography",
" [conducted] new york city pops orchestra | new york city ... | [[["morton gould", "collaborated with", "benny goodman"], ["benny goodman", "performed with", "benny carter"], ["benny carter", "discography", "benny carter discography"]], [["morton gould", "member of", "ascap"], ["ascap", "includes member", "benny carter"], ["benny carter", "discography", "benny carter discography"]]... | 13 | [
1,
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1
] | 12 | 0.002763 | 22.6 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:51:08.664237 |
What are different ways of connecting Lynn Fontanne, the renowned actress, and someone who is a member of the Democratic Party? | Lynn Fontanne | Democratic Party | member of political party | Query: What are different ways of connecting Lynn Fontanne, the renowned actress, and someone who is a member of the Democratic Party?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a con... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Lynn Fontanne", "spouse", "Alfred Lunt"],
["Alfred Lunt", "friend of", "Franklin D. Roosevelt"],
["Franklin D. Roosevelt", "member of political party", "Democratic Party"]
],
"2": [
["Lynn Fontanne", "won award", "Tony Award for Best Actress 1948"],
["Tony... |
1. ENUMERATE FACETS OF LYNN FONTANNE:
- Professional/occupational: Renowned stage actress
- Awards/honors: Tony Award winner (for Best Actress in a Play)
- Family/personal: Married to Alfred Lunt (famous actor)
- Institutional/organizational: Member of the American Theater Hall of Fame; co-founder of a notab... | [
" \n<answer>{ \n \"1\": [ \n [\"Lynn Fontanne\", \"spouse\", \"Alfred Lunt\"], \n [\"Alfred Lunt\", \"friend of\", \"Franklin D. Roosevelt\"], \n [\"Franklin D. Roosevelt\", \"member of political party\", \"Democratic Party\"] \n ], \n \"2\": [ \n [\"Lynn Fontanne\", \"won award\", \"Tony Awa... | [
" [spouse] alfred lunt | alfred lunt [friend of] franklin d. roosevelt | franklin d. roosevelt [member of political party] democratic party",
" [won award] tony award for best actress 1948 | tony award for best actress 1948 [awarded to] helen hayes | helen hayes [member of political party] democratic party",
" ... | [[["lynn fontanne", "spouse", "alfred lunt"], ["alfred lunt", "friend of", "franklin d. roosevelt"], ["franklin d. roosevelt", "member of political party", "democratic party"]], [["lynn fontanne", "won award", "tony award for best actress 1948"], ["tony award for best actress 1948", "awarded to", "helen hayes"], ["hele... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003911 | 59.45 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:52:08.120533 |
What are different ways of connecting Muhammad Yunus, the Bangladeshi social entrepreneur, and someone who is a member of the American Academy of Arts and Sciences? | Muhammad Yunus | American Academy of Arts and Sciences | member of | Query: What are different ways of connecting Muhammad Yunus, the Bangladeshi social entrepreneur, and someone who is a member of the American Academy of Arts and Sciences?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (he... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Muhammad Yunus", "won Nobel Peace Prize 2006", "Nobel Peace Prize 2006"],
["Nobel Peace Prize 2006", "shared with", "Al Gore (politician)"],
["Al Gore (politician)", "member of", "American Academy of Arts and Sciences"]
],
"2": [
["Muhammad Yunus", "alumnus of", "Vanderbilt Un... |
Facets of Muhammad Yunus:
1. Professional/Occupational: Bangladeshi social entrepreneur, founder of Grameen Bank
2. Awards/Honors: Nobel Peace Prize laureate (2006)
3. Family/Personal: spouse - Jamia Yunus (possible, but less publicly known)
4. Institutional/Organizational: Founder of Grameen Bank, served in... | [
"\n\n<answer>{\n \"1\": [\n [\"Muhammad Yunus\", \"won Nobel Peace Prize 2006\", \"Nobel Peace Prize 2006\"],\n [\"Nobel Peace Prize 2006\", \"shared with\", \"Al Gore (politician)\"],\n [\"Al Gore (politician)\", \"member of\", \"American Academy of Arts and Sciences\"]\n ],\n \"2\": [\n [\"Muhammad... | [
" [won nobel peace prize 2006] nobel peace prize 2006 | nobel peace prize 2006 [shared with] al gore (politician) | al gore (politician) [member of] american academy of arts and sciences",
" [alumnus of] vanderbilt university | vanderbilt university [faculty includes] douglas diamond | douglas diamond [member of]... | [[["muhammad yunus", "won nobel peace prize 2006", "nobel peace prize 2006"], ["nobel peace prize 2006", "shared with", "al gore (politician)"], ["al gore (politician)", "member of", "american academy of arts and sciences"]], [["muhammad yunus", "alumnus of", "vanderbilt university"], ["vanderbilt university", "faculty... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.004531 | 37.24 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:52:45.361416 |
What are different ways of connecting Ginetta Sagan, a notable human rights activist, and someone who is known for their occupation as a baseball player? | Ginetta Sagan | baseball player | occupation | Query: What are different ways of connecting Ginetta Sagan, a notable human rights activist, and someone who is known for their occupation as a baseball player?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relatio... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Ginetta Sagan", "member of", "Amnesty International"],
["Amnesty International", "has honored", "Dave Winfield"],
["Dave Winfield", "occupation", "baseball player"]
],
"2": [
["Ginetta Sagan", "namesake of", "Ginetta Sagan Award"],
["Ginetta Sagan Award", "awarded by", "Amn... |
1. Enumerate facets of Ginetta Sagan:
- Profession: Human rights activist
- Awards: Ginetta Sagan Award (named after her)
- Geography: Born in Italy, active in US and international human rights
- Collaborations: Worked with Amnesty International
- Historical events: WWII resistance fighter, Italian resistance during W... | [
"\n<answer>{\n \"1\": [\n [\"Ginetta Sagan\", \"member of\", \"Amnesty International\"],\n [\"Amnesty International\", \"has honored\", \"Dave Winfield\"],\n [\"Dave Winfield\", \"occupation\", \"baseball player\"]\n ],\n \"2\": [\n [\"Ginetta Sagan\", \"namesake of\", \"Ginetta Sagan Award\"],\n ... | [
" [member of] amnesty international | amnesty international [has honored] dave winfield | dave winfield [occupation] baseball player",
" [namesake of] ginetta sagan award | ginetta sagan award [awarded by] amnesty international usa | amnesty international usa [has had staff] dave roberts | dave roberts [occupatio... | [[["ginetta sagan", "member of", "amnesty international"], ["amnesty international", "has honored", "dave winfield"], ["dave winfield", "occupation", "baseball player"]], [["ginetta sagan", "namesake of", "ginetta sagan award"], ["ginetta sagan award", "awarded by", "amnesty international usa"], ["amnesty international... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003467 | 24.29 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:53:09.652617 |
What are different ways of connecting Pete Seeger, the American folk musician, and someone who is the mother of Marvin Gaye? | Pete Seeger | Alberta Gay | mother | Query: What are different ways of connecting Pete Seeger, the American folk musician, and someone who is the mother of Marvin Gaye?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a contin... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Pete Seeger", "participated in", "civil rights movement"],
["civil rights movement", "inspired", "Marvin Gaye"],
["Marvin Gaye", "mother", "Alberta Gay"]
],
"2": [
["Pete Seeger", "collaborated with", "Harry Belafonte"],
["Harry Belafonte", "associated with", "Marvin Gaye"]... |
1. Facets of Pete Seeger:
- Professional: American folk musician, songwriter, activist
- Awards: National Medal of Arts, Grammy Lifetime Achievement
- Family: marriage to Toshi Seeger, children
- Institutional: Co-founder of the Clearwater organization
- Geographic: Based in New York City, active in folk music scenes ... | [
"\n<answer>{\n \"1\": [\n [\"Pete Seeger\", \"participated in\", \"civil rights movement\"],\n [\"civil rights movement\", \"inspired\", \"Marvin Gaye\"],\n [\"Marvin Gaye\", \"mother\", \"Alberta Gay\"]\n ],\n \"2\": [\n [\"Pete Seeger\", \"collaborated with\", \"Harry Belafonte\"],\n [\"Harry Be... | [
" [participated in] civil rights movement | civil rights movement [inspired] marvin gaye | marvin gaye [mother] alberta gay",
" [collaborated with] harry belafonte | harry belafonte [associated with] marvin gaye | marvin gaye [mother] alberta gay",
" [collaborated with] joan baez | joan baez [influenced] marvin... | [[["pete seeger", "participated in", "civil rights movement"], ["civil rights movement", "inspired", "marvin gaye"], ["marvin gaye", "mother", "alberta gay"]], [["pete seeger", "collaborated with", "harry belafonte"], ["harry belafonte", "associated with", "marvin gaye"], ["marvin gaye", "mother", "alberta gay"]], [["p... | 12 | [
1,
1,
1,
0,
0,
1,
0,
0,
0,
1,
0,
0
] | 5 | 0.003302 | 27.9 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:53:37.559541 |
What are different ways of connecting Al Pacino, the renowned actor, and someone who is a member of the Democratic Party? | Al Pacino | Democratic Party | member of political party | Query: What are different ways of connecting Al Pacino, the renowned actor, and someone who is a member of the Democratic Party?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuou... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Al Pacino", "acted in", "The Godfather"],
["The Godfather", "produced by", "Robert Evans"],
["Robert Evans", "member of political party", "Democratic Party"]
],
"2": [
["Al Pacino", "acted in", "Wall Street: Money Never Sleeps"],
["Wall Street: Money Never Sleeps", "direct... |
1. Enumerate facets of Al Pacino:
- Professional: actor in films, director
- Awards/honors: Academy Award winner, Golden Globe winner
- Family/personal: married, children
- Institutional/organizational: member of Actors Studio, supporter or affiliated with Democratic causes
- Geographic/place-based: born in New York C... | [
"\n\n<answer>{\n \"1\": [\n [\"Al Pacino\", \"acted in\", \"The Godfather\"],\n [\"The Godfather\", \"produced by\", \"Robert Evans\"],\n [\"Robert Evans\", \"member of political party\", \"Democratic Party\"]\n ],\n \"2\": [\n [\"Al Pacino\", \"acted in\", \"Wall Street: Money Never Sleeps\"],\n ... | [
" [acted in] the godfather | the godfather [produced by] robert evans | robert evans [member of political party] democratic party",
" [acted in] wall street: money never sleeps | wall street: money never sleeps [directed by] oliver stone | oliver stone [member of political party] democratic party",
" [won award... | [[["al pacino", "acted in", "the godfather"], ["the godfather", "produced by", "robert evans"], ["robert evans", "member of political party", "democratic party"]], [["al pacino", "acted in", "wall street: money never sleeps"], ["wall street: money never sleeps", "directed by", "oliver stone"], ["oliver stone", "member ... | 14 | [
1,
1,
0,
1,
1,
1,
0,
0,
1,
1,
1,
1,
1,
0
] | 10 | 0.00268 | 18.08 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:53:55.645772 |
What are different ways of connecting larotrectinib, a medication used in cancer treatment, and a substance that has a significant drug interaction with tenoxicam? | larotrectinib | tenoxicam | significant drug interaction | Query: What are different ways of connecting larotrectinib, a medication used in cancer treatment, and a substance that has a significant drug interaction with tenoxicam?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (hea... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["larotrectinib", "metabolized by", "CYP3A4"],
["CYP3A4", "inhibited by", "ketoconazole"],
["ketoconazole", "significant drug interaction", "tenoxicam"]
],
"2": [
["larotrectinib", "developed by", "Loxo Oncology"],
["Loxo Oncology", "acquired by", "Eli Lilly"],
["Eli Lill... |
Enumerate facets (6-8):
1. Professional: larotrectinib is a cancer treatment drug; targets NTRK gene fusions.
2. Awards/honors: larotrectinib received FDA approval; recognized as a breakthrough therapy.
3. Family/personal: Not applicable for a drug.
4. Institutional/organizational: Developed by Loxo Oncology; acquired... | [
"\n<answer>{\n \"1\": [\n [\"larotrectinib\", \"metabolized by\", \"CYP3A4\"],\n [\"CYP3A4\", \"inhibited by\", \"ketoconazole\"],\n [\"ketoconazole\", \"significant drug interaction\", \"tenoxicam\"]\n ],\n \"2\": [\n [\"larotrectinib\", \"developed by\", \"Loxo Oncology\"],\n [\"Loxo Oncology\",... | [
" [metabolized by] cyp3a4 | cyp3a4 [inhibited by] ketoconazole | ketoconazole [significant drug interaction] tenoxicam",
" [developed by] loxo oncology | loxo oncology [acquired by] eli lilly | eli lilly [markets] diclofenac | diclofenac [significant drug interaction] tenoxicam",
" [approved by] fda | fda [issu... | [[["larotrectinib", "metabolized by", "cyp3a4"], ["cyp3a4", "inhibited by", "ketoconazole"], ["ketoconazole", "significant drug interaction", "tenoxicam"]], [["larotrectinib", "developed by", "loxo oncology"], ["loxo oncology", "acquired by", "eli lilly"], ["eli lilly", "markets", "diclofenac"], ["diclofenac", "signifi... | 12 | [
1,
1,
1,
1,
1,
1,
1,
0,
0,
0,
1,
1
] | 9 | 0.004086 | 32.82 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:54:28.468831 |
What are different ways of connecting ustekinumab, a medication used to treat certain autoimmune conditions, and a substance that has a side effect of lower respiratory tract infection? | ustekinumab | lower respiratory tract infection | side effect | Query: What are different ways of connecting ustekinumab, a medication used to treat certain autoimmune conditions, and a substance that has a side effect of lower respiratory tract infection?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence o... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Facets of ustekinumab to use for exploring connections:
1. Professional/therapeutic role: Ustekinumab is a monoclonal antibody medication used to treat autoimmune diseases like psoriasis, Crohn's disease, and psoriatic arthritis.
2. Manufacturer/Institutional: Ustekinumab is produced by Janssen Pharmaceuticals... | [
"<think>\nFacets of ustekinumab to use for exploring connections:\n\n1. Professional/therapeutic role: Ustekinumab is a monoclonal antibody medication used to treat autoimmune diseases like psoriasis, Crohn's disease, and psoriatic arthritis.\n2. Manufacturer/Institutional: Ustekinumab is produced by Janssen Pharma... | [
" [side effect] lower respiratory tract infection",
" [treats] crohn's disease | crohn's disease treatment [side effect] lower respiratory tract infection",
" [manufactured by] janssen pharmaceuticals | janssen pharmaceuticals drugs [side effect] lower respiratory tract infection",
" [made by] johnson & johns... | [[["ustekinumab", "side effect", "lower respiratory tract infection"]], [["ustekinumab", "treats", "crohn's disease"], ["crohn's disease treatment", "side effect", "lower respiratory tract infection"]], [["ustekinumab", "manufactured by", "janssen pharmaceuticals"], ["janssen pharmaceuticals drugs", "side effect", "low... | 12 | [
1,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0
] | 2 | 0.002466 | 17.12 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:54:45.590438 | |
What are different ways of connecting lacosamide, a medication used to treat epilepsy, and a substance that has a significant drug interaction with procarbazine? | lacosamide | procarbazine | significant drug interaction | Query: What are different ways of connecting lacosamide, a medication used to treat epilepsy, and a substance that has a significant drug interaction with procarbazine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head,... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Facets for lacosamide:
1. Therapeutic class / Pharmacological use: lacosamide is an anticonvulsant used to treat epilepsy.
2. Manufacturer / Pharmaceutical company: marketed by UCB Pharma.
3. Active ingredient / Chemical structure: lacosamide chemically is an amino acid derivative.
4. Approval / Regulatory even... | [
"<think>\nFacets for lacosamide:\n1. Therapeutic class / Pharmacological use: lacosamide is an anticonvulsant used to treat epilepsy.\n2. Manufacturer / Pharmaceutical company: marketed by UCB Pharma.\n3. Active ingredient / Chemical structure: lacosamide chemically is an amino acid derivative.\n4. Approval / Regul... | [
" [treats] epilepsy | epilepsy [treated with] phenytoin | phenytoin [significant drug interaction] procarbazine",
" [marketed by] ucb pharma | ucb pharma [collaborates with] novartis | novartis [develops] monoamine oxidase inhibitors | monoamine oxidase inhibitors [significant drug interaction] procarbazine",
"... | [[["lacosamide", "treats", "epilepsy"], ["epilepsy", "treated with", "phenytoin"], ["phenytoin", "significant drug interaction", "procarbazine"]], [["lacosamide", "marketed by", "ucb pharma"], ["ucb pharma", "collaborates with", "novartis"], ["novartis", "develops", "monoamine oxidase inhibitors"], ["monoamine oxidase ... | 12 | [
1,
1,
1,
0,
0,
1,
1,
1,
1,
0,
1,
1
] | 9 | 0.003672 | 35.71 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:55:21.302532 | |
What are different ways of connecting bisoprolol, a medication used for treating high blood pressure, and a substance that has a significant drug interaction with methylprednisolone? | bisoprolol | methylprednisolone | significant drug interaction | Query: What are different ways of connecting bisoprolol, a medication used for treating high blood pressure, and a substance that has a significant drug interaction with methylprednisolone?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of f... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["bisoprolol", "is a", "beta blocker"],
["beta blocker", "includes", "propranolol"],
["propranolol", "significant drug interaction", "methylprednisolone"]
],
"2": [
["bisoprolol", "used to treat", "hypertension"],
["hypertension", "treated with", "furosemide"],
["furosem... |
First, enumerate facets (6-8) of bisoprolol (a medication):
1. Pharmacological class: beta blocker.
2. Therapeutic use: treatment for hypertension (high blood pressure).
3. Drug metabolism: processed by liver enzymes, particularly CYP3A4.
4. Manufacturer(s): pharmaceutical companies producing bisoprolol.
5. Chemical ... | [
"\n<answer>\n{\n \"1\": [\n [\"bisoprolol\", \"is a\", \"beta blocker\"],\n [\"beta blocker\", \"includes\", \"propranolol\"],\n [\"propranolol\", \"significant drug interaction\", \"methylprednisolone\"]\n ],\n \"2\": [\n [\"bisoprolol\", \"used to treat\", \"hypertension\"],\n [\"hypertension\",... | [
" [is a] beta blocker | beta blocker [includes] propranolol | propranolol [significant drug interaction] methylprednisolone",
" [used to treat] hypertension | hypertension [treated with] furosemide | furosemide [significant drug interaction] methylprednisolone",
" [metabolized by] cyp3a4 enzyme | cyp3a4 enzyme ... | [[["bisoprolol", "is a", "beta blocker"], ["beta blocker", "includes", "propranolol"], ["propranolol", "significant drug interaction", "methylprednisolone"]], [["bisoprolol", "used to treat", "hypertension"], ["hypertension", "treated with", "furosemide"], ["furosemide", "significant drug interaction", "methylprednisol... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
0,
1,
1,
1
] | 11 | 0.003748 | 40.21 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:56:01.515377 |
What are different ways of connecting tenofovir disoproxil, a medication used in the treatment of HIV, and a substance that is considered an essential medicine and plays a significant role in that context? | tenofovir disoproxil | essential medicine | subject has role | Query: What are different ways of connecting tenofovir disoproxil, a medication used in the treatment of HIV, and a substance that is considered an essential medicine and plays a significant role in that context?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["tenofovir disoproxil", "subject has role", "essential medicine"]
],
"2": [
["tenofovir disoproxil", "metabolized into", "tenofovir"],
["tenofovir", "subject has role", "essential medicine"]
],
"3": [
["tenofovir disoproxil", "co-formulated with", "emtricitabine"],
["e... |
Facets of tenofovir disoproxil:
1. Therapeutic use: used to treat HIV.
2. Chemical class: nucleotide reverse transcriptase inhibitor (NRTI).
3. Developed by: Gilead Sciences.
4. Registered in WHO Essential Medicines List.
5. Related to active metabolite: tenofovir.
6. Alternative formulations: tenofovir disoproxil fum... | [
"\n\n<answer>\n{\n \"1\": [\n [\"tenofovir disoproxil\", \"subject has role\", \"essential medicine\"]\n ],\n \"2\": [\n [\"tenofovir disoproxil\", \"metabolized into\", \"tenofovir\"],\n [\"tenofovir\", \"subject has role\", \"essential medicine\"]\n ],\n \"3\": [\n [\"tenofovir disoproxil\", \"co... | [
" [subject has role] essential medicine",
" [metabolized into] tenofovir | tenofovir [subject has role] essential medicine",
" [co-formulated with] emtricitabine | emtricitabine [subject has role] essential medicine",
" [included in] truvada | truvada [subject has role] essential medicine",
" [developed by]... | [[["tenofovir disoproxil", "subject has role", "essential medicine"]], [["tenofovir disoproxil", "metabolized into", "tenofovir"], ["tenofovir", "subject has role", "essential medicine"]], [["tenofovir disoproxil", "co-formulated with", "emtricitabine"], ["emtricitabine", "subject has role", "essential medicine"]], [["... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.004796 | 83.66 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:57:25.178675 |
What are different ways of connecting frentizole, a chemical compound, and a substance that has triamcinolone as its active ingredient? | frentizole | Trianex | active ingredient in | Query: What are different ways of connecting frentizole, a chemical compound, and a substance that has triamcinolone as its active ingredient?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) formi... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Step 1: Enumerate facets/properties of frentizole:
- Chemical class (frentizole is a thiourea derivative, an antithyroid agent)
- Medical use (antithyroid medication)
- Manufacturer or discovering organization
- Geographic origin or use prevalence (likely developed in Japan or Europe)
- Chemical properties (thi... | [
"<think>\nStep 1: Enumerate facets/properties of frentizole:\n- Chemical class (frentizole is a thiourea derivative, an antithyroid agent)\n- Medical use (antithyroid medication)\n- Manufacturer or discovering organization\n- Geographic origin or use prevalence (likely developed in Japan or Europe)\n- Chemical prop... | [
" [is a] antithyroid drug | antithyroid drug [used with] corticosteroids | corticosteroids [include active ingredient] triamcinolone | triamcinolone [active ingredient in] trianex",
" [is classified as] thiourea derivative | thiourea derivative [belongs to] antithyroid agents | antithyroid agents [often combined ... | [[["frentizole", "is a", "antithyroid drug"], ["antithyroid drug", "used with", "corticosteroids"], ["corticosteroids", "include active ingredient", "triamcinolone"], ["triamcinolone", "active ingredient in", "trianex"]], [["frentizole", "is classified as", "thiourea derivative"], ["thiourea derivative", "belongs to", ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
1,
1
] | 11 | 0.00268 | 42.24 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:58:07.416194 | |
What are different ways of connecting moexipril, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with trandolapril? | moexipril | trandolapril | significant drug interaction | Query: What are different ways of connecting moexipril, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with trandolapril?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual trip... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["moexipril", "is a", "angiotensin-converting enzyme inhibitor"],
["angiotensin-converting enzyme inhibitor", "includes", "trandolapril"],
["trandolapril", "significant drug interaction", "potassium supplements"]
],
"2": [
["moexipril", "developed by", "Daiichi... |
1. Enumerate facets of moexipril:
- Professional/occupational domain: moexipril is an angiotensin-converting enzyme (ACE) inhibitor used as an antihypertensive agent.
- Awards/honors: Moexipril is a pharmaceutical product developed by a specific pharmaceutical company.
- Family/personal: Moexipril chemically b... | [
" \n<answer> \n{ \n \"1\": [ \n [\"moexipril\", \"is a\", \"angiotensin-converting enzyme inhibitor\"], \n [\"angiotensin-converting enzyme inhibitor\", \"includes\", \"trandolapril\"], \n [\"trandolapril\", \"significant drug interaction\", \"potassium supplements\"] \n ], \n \"2\": [ \n [\... | [
" [is a] angiotensin-converting enzyme inhibitor | angiotensin-converting enzyme inhibitor [includes] trandolapril | trandolapril [significant drug interaction] potassium supplements",
" [developed by] daiichi sankyo | daiichi sankyo [markets] trandolapril | trandolapril [significant drug interaction] nonsteroida... | [[["moexipril", "is a", "angiotensin-converting enzyme inhibitor"], ["angiotensin-converting enzyme inhibitor", "includes", "trandolapril"], ["trandolapril", "significant drug interaction", "potassium supplements"]], [["moexipril", "developed by", "daiichi sankyo"], ["daiichi sankyo", "markets", "trandolapril"], ["tran... | 12 | [
1,
1,
0,
1,
1,
1,
1,
1,
1,
1,
0,
1
] | 10 | 0.002994 | 39.6 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:58:47.017952 |
What are different ways of connecting penbutolol, a medication, and a substance that has a significant drug interaction with (+-)-flurbiprofen? | penbutolol | (+-)-flurbiprofen | significant drug interaction | Query: What are different ways of connecting penbutolol, a medication, and a substance that has a significant drug interaction with (+-)-flurbiprofen?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tai... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["penbutolol", "belongs to class", "beta blocker"],
["beta blocker", "has significant drug interaction with", "(+-)-flurbiprofen"]
],
"2": [
["penbutolol", "metabolized by enzyme", "cytochrome P450 enzyme CYP2D6"],
["(+-)-flurbiprofen", "inhibits enzyme", "cytochrome P450 enzyme ... |
1. Enumerate facets of penbutolol:
- Pharmacological class: beta blocker (beta-adrenergic receptor antagonist)
- Indication: treatment of hypertension and angina pectoris
- Metabolism: hepatic metabolism via cytochrome P450 enzymes
- Drug class interactions: known to interact with NSAIDs (like flurbiprofen)
- Company/... | [
"\n<answer>{\n \"1\": [\n [\"penbutolol\", \"belongs to class\", \"beta blocker\"],\n [\"beta blocker\", \"has significant drug interaction with\", \"(+-)-flurbiprofen\"]\n ],\n \"2\": [\n [\"penbutolol\", \"metabolized by enzyme\", \"cytochrome P450 enzyme CYP2D6\"],\n [\"(+-)-flurbiprofen\", \"inhi... | [
" [belongs to class] beta blocker | beta blocker [has significant drug interaction with] (+-)-flurbiprofen",
" [metabolized by enzyme] cytochrome p450 enzyme cyp2d6 | (+-)-flurbiprofen [inhibits enzyme] cytochrome p450 enzyme cyp2d6 | penbutolol [significant drug interaction] (+-)-flurbiprofen",
" [treats disea... | [[["penbutolol", "belongs to class", "beta blocker"], ["beta blocker", "has significant drug interaction with", "(+-)-flurbiprofen"]], [["penbutolol", "metabolized by enzyme", "cytochrome p450 enzyme cyp2d6"], ["(+-)-flurbiprofen", "inhibits enzyme", "cytochrome p450 enzyme cyp2d6"], ["penbutolol", "significant drug in... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003003 | 19.86 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:59:06.880856 |
What are different ways of connecting troleandomycin, a chemical compound, and a substance that is the active ingredient in Singulair? | troleandomycin | Singulair | active ingredient in | Query: What are different ways of connecting troleandomycin, a chemical compound, and a substance that is the active ingredient in Singulair?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) formin... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["troleandomycin", "inhibits enzyme", "cytochrome P450 3A4"],
["cytochrome P450 3A4", "metabolizes", "montelukast"],
["montelukast", "active ingredient in", "Singulair"]
],
"2": [
["troleandomycin", "is classified as", "macrolide antibiotic"],
["macrolide antibiotic", "treat... |
Step 1: Enumerate facets of troleandomycin:
1. Drug class: macrolide antibiotic
2. Mode of action: CYP3A4 inhibitor
3. Used to treat bacterial infections (respiratory tract infections)
4. Classified as a pharmaceutical or chemical compound
5. Approved or researched by pharmaceutical regulatory agencies (FDA)
6. Chemic... | [
"\n<answer>\n{\n \"1\": [\n [\"troleandomycin\", \"inhibits enzyme\", \"cytochrome P450 3A4\"],\n [\"cytochrome P450 3A4\", \"metabolizes\", \"montelukast\"],\n [\"montelukast\", \"active ingredient in\", \"Singulair\"]\n ],\n \"2\": [\n [\"troleandomycin\", \"is classified as\", \"macrolide antibiot... | [
" [inhibits enzyme] cytochrome p450 3a4 | cytochrome p450 3a4 [metabolizes] montelukast | montelukast [active ingredient in] singulair",
" [is classified as] macrolide antibiotic | macrolide antibiotic [treats] respiratory tract infections | respiratory tract infections [related to] asthma | asthma [treated by] m... | [[["troleandomycin", "inhibits enzyme", "cytochrome p450 3a4"], ["cytochrome p450 3a4", "metabolizes", "montelukast"], ["montelukast", "active ingredient in", "singulair"]], [["troleandomycin", "is classified as", "macrolide antibiotic"], ["macrolide antibiotic", "treats", "respiratory tract infections"], ["respiratory... | 12 | [
1,
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1
] | 11 | 0.003088 | 25.39 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T11:59:32.276475 |
What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine? | enfuvirtide | venlafaxine | significant drug interaction | Query: What are different ways of connecting enfuvirtide, a medication used to treat HIV, and a substance that has a significant drug interaction with venlafaxine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rela... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
("enfuvirtide", "is HIV fusion inhibitor", "fusion inhibitors"),
("fusion inhibitors", "used with", "ritonavir"),
("ritonavir", "significant drug interaction", "venlafaxine")
],
"2": [
("enfuvirtide", "developed by", "Trimeris"),
("Trimeris", "partnered w... |
1. ENUMERATE FACETS OF "enfuvirtide":
- Professional/Occupational: Enfuvirtide is an antiretroviral medication used for HIV treatment.
- Awards/Honors: Enfuvirtide itself doesn’t win awards, but related discoveries in HIV treatments might have won awards.
- Family/Personal: Not directly applicable but could co... | [
" \n<answer> \n{ \n \"1\": [ \n (\"enfuvirtide\", \"is HIV fusion inhibitor\", \"fusion inhibitors\"), \n (\"fusion inhibitors\", \"used with\", \"ritonavir\"), \n (\"ritonavir\", \"significant drug interaction\", \"venlafaxine\") \n ], \n \"2\": [ \n (\"enfuvirtide\", \"developed by\", \"Tr... | [
" [is hiv fusion inhibitor] fusion inhibitors | fusion inhibitors [used with] ritonavir | ritonavir [significant drug interaction] venlafaxine",
" [developed by] trimeris | trimeris [partnered with] hoffmann-la roche | hoffmann-la roche [markets] ritonavir | ritonavir [significant drug interaction] venlafaxine",
... | [[["enfuvirtide", "is hiv fusion inhibitor", "fusion inhibitors"], ["fusion inhibitors", "used with", "ritonavir"], ["ritonavir", "significant drug interaction", "venlafaxine"]], [["enfuvirtide", "developed by", "trimeris"], ["trimeris", "partnered with", "hoffmann-la roche"], ["hoffmann-la roche", "markets", "ritonavi... | 12 | [
1,
1,
1,
0,
1,
1,
0,
1,
0,
1,
1,
1
] | 9 | 0.003636 | 28.82 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:00:01.097535 |
What are different ways of connecting thyroglobulin, a protein involved in thyroid hormone production, and a substance that is a stereoisomer of dextrothyroxine? | thyroglobulin | dextrothyroxine | stereoisomer of | Query: What are different ways of connecting thyroglobulin, a protein involved in thyroid hormone production, and a substance that is a stereoisomer of dextrothyroxine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head,... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["thyroglobulin", "precursor of", "levothyroxine"],
["levothyroxine", "stereoisomer of", "dextrothyroxine"]
],
"2": [
["thyroglobulin", "substrate for", "thyroid peroxidase"],
["thyroid peroxidase", "catalyzes production of", "levothyroxine"],
["levothyroxine", "stereoisomer ... |
Facets and domains for thyroglobulin to explore:
1. Professional/Functional role: Thyroglobulin is a precursor protein for thyroid hormones.
2. Molecular/Biochemical: Thyroglobulin stores and is iodinated to produce thyroid hormones including thyroxine (T4).
3. Genetic: Thyroglobulin gene codes for the protein.
4. Dis... | [
"\n<answer>{\n \"1\": [\n [\"thyroglobulin\", \"precursor of\", \"levothyroxine\"],\n [\"levothyroxine\", \"stereoisomer of\", \"dextrothyroxine\"]\n ],\n \"2\": [\n [\"thyroglobulin\", \"substrate for\", \"thyroid peroxidase\"],\n [\"thyroid peroxidase\", \"catalyzes production of\", \"levothyroxine... | [
" [precursor of] levothyroxine | levothyroxine [stereoisomer of] dextrothyroxine",
" [substrate for] thyroid peroxidase | thyroid peroxidase [catalyzes production of] levothyroxine | levothyroxine [stereoisomer of] dextrothyroxine",
" [encoded by] tg gene | tg gene [codes for production of] levothyroxine | levo... | [[["thyroglobulin", "precursor of", "levothyroxine"], ["levothyroxine", "stereoisomer of", "dextrothyroxine"]], [["thyroglobulin", "substrate for", "thyroid peroxidase"], ["thyroid peroxidase", "catalyzes production of", "levothyroxine"], ["levothyroxine", "stereoisomer of", "dextrothyroxine"]], [["thyroglobulin", "enc... | 12 | [
1,
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1
] | 11 | 0.003005 | 42.33 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:00:43.429631 |
What are different ways of connecting gabapentin, a medication used to treat nerve pain, and a substance that has a significant drug interaction with dihydrocodeine? | gabapentin | dihydrocodeine | significant drug interaction | Query: What are different ways of connecting gabapentin, a medication used to treat nerve pain, and a substance that has a significant drug interaction with dihydrocodeine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (h... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Enumerate facets/properties of gabapentin:
1. Professional/Occupational: Gabapentin is an anticonvulsant and nerve pain medication.
2. Therapeutic use: Used to treat neuropathic pain.
3. Pharmacological class: It is a GABA analogue.
4. Manufacturer: Originally marketed by Pfizer.
5. Metabolism: Not metabolized ... | [
"<think>\nEnumerate facets/properties of gabapentin:\n1. Professional/Occupational: Gabapentin is an anticonvulsant and nerve pain medication.\n2. Therapeutic use: Used to treat neuropathic pain.\n3. Pharmacological class: It is a GABA analogue.\n4. Manufacturer: Originally marketed by Pfizer.\n5. Metabolism: Not m... | [
" [is classified as] anticonvulsant medication | anticonvulsant medication [used with] opioid analgesics | opioid analgesics [significant drug interaction] dihydrocodeine",
" [is a] gaba analogue | gaba analogue [pharmacologically related to] cns depressants | cns depressants [significant drug interaction] dihydr... | [[["gabapentin", "is classified as", "anticonvulsant medication"], ["anticonvulsant medication", "used with", "opioid analgesics"], ["opioid analgesics", "significant drug interaction", "dihydrocodeine"]], [["gabapentin", "is a", "gaba analogue"], ["gaba analogue", "pharmacologically related to", "cns depressants"], ["... | 12 | [
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1,
1
] | 11 | 0.002969 | 32.45 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:01:15.880363 | |
What are different ways of connecting acetylcysteine, a chemical compound, and a substance that is the active ingredient in Vancocin? | acetylcysteine | Vancocin | active ingredient in | Query: What are different ways of connecting acetylcysteine, a chemical compound, and a substance that is the active ingredient in Vancocin?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["acetylcysteine", "treats", "respiratory diseases"],
["respiratory diseases", "treated by", "vancomycin"],
["vancomycin", "active ingredient in", "Vancocin"]
],
"2": [
["acetylcysteine", "increases levels of", "glutathione"],
["glutathione pathway", "modulates", "bacterial r... |
First, I enumerate various facets of acetylcysteine:
1. Chemical/Pharmacological role: Acetylcysteine is a mucolytic agent; used as an antidote for acetaminophen poisoning.
2. Molecular biology/genetics: Acetylcysteine relates to glutathione metabolism and cysteine amino acid.
3. Medical use: Used in respiratory dise... | [
"\n<answer>{\n \"1\": [\n [\"acetylcysteine\", \"treats\", \"respiratory diseases\"],\n [\"respiratory diseases\", \"treated by\", \"vancomycin\"],\n [\"vancomycin\", \"active ingredient in\", \"Vancocin\"]\n ],\n \"2\": [\n [\"acetylcysteine\", \"increases levels of\", \"glutathione\"],\n [\"glut... | [
" [treats] respiratory diseases | respiratory diseases [treated by] vancomycin | vancomycin [active ingredient in] vancocin",
" [increases levels of] glutathione | glutathione pathway [modulates] bacterial resistance | bacterial resistance [targeted by] vancomycin | vancomycin [active ingredient in] vancocin",
... | [[["acetylcysteine", "treats", "respiratory diseases"], ["respiratory diseases", "treated by", "vancomycin"], ["vancomycin", "active ingredient in", "vancocin"]], [["acetylcysteine", "increases levels of", "glutathione"], ["glutathione pathway", "modulates", "bacterial resistance"], ["bacterial resistance", "targeted b... | 12 | [
1,
0,
1,
1,
1,
0,
1,
0,
1,
1,
1,
0
] | 8 | 0.003118 | 36.69 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:01:52.571474 |
What are different ways of connecting (R,R)-asenapine, a chemical compound, and a substance that is the active ingredient in Aripiprazole Sandoz? | (R,R)-asenapine | Aripiprazole Sandoz | active ingredient in | Query: What are different ways of connecting (R,R)-asenapine, a chemical compound, and a substance that is the active ingredient in Aripiprazole Sandoz?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, t... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Entities:
- (R,R)-asenapine: an atypical antipsychotic drug.
- Aripiprazole Sandoz: a brand of the drug aripiprazole, an atypical antipsychotic as well.
Goal:
Identify multiple distinct connection paths between (R,R)-asenapine and the "active ingredient in" Aripiprazole Sandoz (aripiprazole). Paths start from ... | [
"<think>\nEntities:\n- (R,R)-asenapine: an atypical antipsychotic drug.\n- Aripiprazole Sandoz: a brand of the drug aripiprazole, an atypical antipsychotic as well.\n\nGoal:\nIdentify multiple distinct connection paths between (R,R)-asenapine and the \"active ingredient in\" Aripiprazole Sandoz (aripiprazole). Path... | [
" [is an] atypical antipsychotic | atypical antipsychotic [includes] aripiprazole | aripiprazole [active ingredient in] aripiprazole sandoz",
" [treats] schizophrenia | aripiprazole [treats] schizophrenia | aripiprazole [active ingredient in] aripiprazole sandoz",
" [marketed by] lundbeck | lundbeck [is a pharm... | [[["(r,r)-asenapine", "is an", "atypical antipsychotic"], ["atypical antipsychotic", "includes", "aripiprazole"], ["aripiprazole", "active ingredient in", "aripiprazole sandoz"]], [["(r,r)-asenapine", "treats", "schizophrenia"], ["aripiprazole", "treats", "schizophrenia"], ["aripiprazole", "active ingredient in", "arip... | 12 | [
1,
1,
1,
1,
1,
1,
0,
0,
0,
1,
1,
1
] | 9 | 0.003151 | 34.48 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:02:27.053471 | |
What are different ways of connecting iopanoic acid, a chemical compound, and a substance that has a role as an antithyroid agent? | iopanoic acid | antithyroid agents | subject has role | Query: What are different ways of connecting iopanoic acid, a chemical compound, and a substance that has a role as an antithyroid agent?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["iopanoic acid", "inhibits", "deiodinase enzyme"],
["deiodinase enzyme", "modulates", "thyroid hormone activity"],
["thyroid hormone activity", "targeted by", "antithyroid agents"],
["antithyroid agents", "subject has role", "antithyroid agents"]
],
"2": [
["iopanoic acid", ... |
1. ENUMERATE FACETS FOR IOPANOIC ACID:
- Chemical role: used as a radiocontrast agent
- Pharmacological role: inhibits deiodinase enzymes
- Medical application: used in managing hyperthyroidism
- Chemical class: organic iodine-containing compound
- Manufacturer or form producer: specific pharmaceutical companies
- His... | [
"\n<answer>{\n \"1\": [\n [\"iopanoic acid\", \"inhibits\", \"deiodinase enzyme\"],\n [\"deiodinase enzyme\", \"modulates\", \"thyroid hormone activity\"],\n [\"thyroid hormone activity\", \"targeted by\", \"antithyroid agents\"],\n [\"antithyroid agents\", \"subject has role\", \"antithyroid agents\"]... | [
" [inhibits] deiodinase enzyme | deiodinase enzyme [modulates] thyroid hormone activity | thyroid hormone activity [targeted by] antithyroid agents | antithyroid agents [subject has role] antithyroid agents",
" [used for] hyperthyroidism treatment | hyperthyroidism treatment [includes] antithyroid agents | antith... | [[["iopanoic acid", "inhibits", "deiodinase enzyme"], ["deiodinase enzyme", "modulates", "thyroid hormone activity"], ["thyroid hormone activity", "targeted by", "antithyroid agents"], ["antithyroid agents", "subject has role", "antithyroid agents"]], [["iopanoic acid", "used for", "hyperthyroidism treatment"], ["hyper... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003422 | 24.03 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:02:51.083086 |
What are different ways of connecting IGF2BP2, a protein involved in cellular processes, and a substance that encodes the CDK5 regulatory subunit associated protein 1 like 1? | IGF2BP2 | CDK5 regulatory subunit associated protein 1 like 1 | encodes | Query: What are different ways of connecting IGF2BP2, a protein involved in cellular processes, and a substance that encodes the CDK5 regulatory subunit associated protein 1 like 1?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual t... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["IGF2BP2", "regulates expression of", "CDK5RAP1L1 gene"],
["CDK5RAP1L1 gene", "encodes", "CDK5 regulatory subunit associated protein 1 like 1"]
],
"2": [
["IGF2BP2", "member of gene family", "IGF2BP family"],
["IGF2BP family", "functionally interacts with", "CDK5 regulatory path... |
1. Enumerate facets of IGF2BP2:
- Professional/occupational: IGF2BP2 is an RNA-binding protein involved in post-transcriptional regulation.
- Awards/honors: No specific major awards known directly for IGF2BP2 but may be linked to related research consortiums.
- Family/personal: IGF2BP2 is part of a gene famil... | [
"\n<answer>{\n \"1\": [\n [\"IGF2BP2\", \"regulates expression of\", \"CDK5RAP1L1 gene\"],\n [\"CDK5RAP1L1 gene\", \"encodes\", \"CDK5 regulatory subunit associated protein 1 like 1\"]\n ],\n \"2\": [\n [\"IGF2BP2\", \"member of gene family\", \"IGF2BP family\"],\n [\"IGF2BP family\", \"functionally ... | [
" [regulates expression of] cdk5rap1l1 gene | cdk5rap1l1 gene [encodes] cdk5 regulatory subunit associated protein 1 like 1",
" [member of gene family] igf2bp family | igf2bp family [functionally interacts with] cdk5 regulatory pathways | cdk5 regulatory pathways [include protein] cdk5rap1l1 | cdk5rap1l1 gene [en... | [[["igf2bp2", "regulates expression of", "cdk5rap1l1 gene"], ["cdk5rap1l1 gene", "encodes", "cdk5 regulatory subunit associated protein 1 like 1"]], [["igf2bp2", "member of gene family", "igf2bp family"], ["igf2bp family", "functionally interacts with", "cdk5 regulatory pathways"], ["cdk5 regulatory pathways", "include... | 14 | [
1,
0,
0,
0,
0,
0,
0,
0,
0,
1,
0,
0,
0,
0
] | 2 | 0.004902 | 50.34 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:03:41.425096 |
What are different ways of connecting NFIA, a gene involved in neural development, and a substance that is expressed in the skin of the hip? | NFIA | skin of hip | expressed in | Query: What are different ways of connecting NFIA, a gene involved in neural development, and a substance that is expressed in the skin of the hip?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["NFIA", "member of gene family", "nuclear factor I family"],
["nuclear factor I family", "includes", "NFIX"],
["NFIX", "expressed in", "skin of hip"]
],
"2": [
["NFIA", "studied at", "Stanford University"],
["Stanford University", "researches", "keratin"],
["keratin", "e... |
1. ENUMERATE FACETS of NFIA:
- Professional/occupational: NFIA is a transcription factor gene controlling neural development.
- Awards/honors: NFIA is associated with research awards for developmental biology.
- Family/personal: NFIA is part of the nuclear factor I gene family.
- Institutional/organizational: NFIA is ... | [
"\n<answer>{\n \"1\": [\n [\"NFIA\", \"member of gene family\", \"nuclear factor I family\"],\n [\"nuclear factor I family\", \"includes\", \"NFIX\"],\n [\"NFIX\", \"expressed in\", \"skin of hip\"]\n ],\n \"2\": [\n [\"NFIA\", \"studied at\", \"Stanford University\"],\n [\"Stanford University\", ... | [
" [member of gene family] nuclear factor i family | nuclear factor i family [includes] nfix | nfix [expressed in] skin of hip",
" [studied at] stanford university | stanford university [researches] keratin | keratin [expressed in] skin of hip",
" [regulates development of] neural crest | neural crest [different... | [[["nfia", "member of gene family", "nuclear factor i family"], ["nuclear factor i family", "includes", "nfix"], ["nfix", "expressed in", "skin of hip"]], [["nfia", "studied at", "stanford university"], ["stanford university", "researches", "keratin"], ["keratin", "expressed in", "skin of hip"]], [["nfia", "regulates d... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.00272 | 22.47 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:04:03.904290 |
What are different ways of connecting NTNG1, a gene, and a substance that is expressed in Brodmann area 46? | NTNG1 | Brodmann area 46 | expressed in | Query: What are different ways of connecting NTNG1, a gene, and a substance that is expressed in Brodmann area 46?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that b... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["NTNG1", "encodes", "Netrin-G1"],
["Netrin-G1", "expressed in", "Brodmann area 46"]
],
"2": [
["NTNG1", "interacts with", "NGL1"],
["NGL1", "expressed in", "Brodmann area 46"]
],
"3": [
["NTNG1", "involved in", "synapse formation"],
["synapse formation", "occurs in",... |
1. Enumerate facets of NTNG1:
- NTNG1 is a gene coding for Netrin-G1, involved in neural development.
- NTNG1 is associated with brain regions including prefrontal cortex areas.
- NTNG1 interacts with ligands such as NGL1 (Netrin-G ligand 1).
- NTNG1 is linked to neurodevelopmental disorders (schizophrenia, autism).
-... | [
"\n<answer>{\n \"1\": [\n [\"NTNG1\", \"encodes\", \"Netrin-G1\"],\n [\"Netrin-G1\", \"expressed in\", \"Brodmann area 46\"]\n ],\n \"2\": [\n [\"NTNG1\", \"interacts with\", \"NGL1\"],\n [\"NGL1\", \"expressed in\", \"Brodmann area 46\"]\n ],\n \"3\": [\n [\"NTNG1\", \"involved in\", \"synapse ... | [
" [encodes] netrin-g1 | netrin-g1 [expressed in] brodmann area 46",
" [interacts with] ngl1 | ngl1 [expressed in] brodmann area 46",
" [involved in] synapse formation | synapse formation [occurs in] brodmann area 46",
" [associated with] schizophrenia | schizophrenia [involves altered expression of] dopamine ... | [[["ntng1", "encodes", "netrin-g1"], ["netrin-g1", "expressed in", "brodmann area 46"]], [["ntng1", "interacts with", "ngl1"], ["ngl1", "expressed in", "brodmann area 46"]], [["ntng1", "involved in", "synapse formation"], ["synapse formation", "occurs in", "brodmann area 46"]], [["ntng1", "associated with", "schizophre... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003286 | 28.93 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:04:32.832008 |
What are different ways of connecting FBN1, a gene associated with connective tissue disorders, and a substance that has a specific strand orientation in its forward strand? | FBN1 | forward strand | strand orientation | Query: What are different ways of connecting FBN1, a gene associated with connective tissue disorders, and a substance that has a specific strand orientation in its forward strand?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tr... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["FBN1", "encodes", "fibrillin-1"],
["fibrillin-1", "part of", "extracellular matrix"],
["extracellular matrix", "coded by", "DNA"],
["DNA", "strand orientation", "forward strand"]
],
"2": [
["FBN1", "mutation causes", "Marfan syndrome"],
["Marfan syndrome", "inherited vi... |
Step 1: Enumerate facets/properties/roles/domains of FBN1:
1. Genetic function: FBN1 encodes fibrillin-1, a structural protein of connective tissue.
2. Disease association: FBN1 mutations cause Marfan syndrome (connective tissue disorder).
3. Molecular biology: FBN1 gene is on chromosome 15, has coding DNA on a DNA st... | [
"\n<answer>{\n \"1\": [\n [\"FBN1\", \"encodes\", \"fibrillin-1\"],\n [\"fibrillin-1\", \"part of\", \"extracellular matrix\"],\n [\"extracellular matrix\", \"coded by\", \"DNA\"],\n [\"DNA\", \"strand orientation\", \"forward strand\"]\n ],\n \"2\": [\n [\"FBN1\", \"mutation causes\", \"Marfan sy... | [
" [encodes] fibrillin-1 | fibrillin-1 [part of] extracellular matrix | extracellular matrix [coded by] dna | dna [strand orientation] forward strand",
" [mutation causes] marfan syndrome | marfan syndrome [inherited via] human dna | human dna [strand orientation] forward strand",
" [sequenced by] human genome p... | [[["fbn1", "encodes", "fibrillin-1"], ["fibrillin-1", "part of", "extracellular matrix"], ["extracellular matrix", "coded by", "dna"], ["dna", "strand orientation", "forward strand"]], [["fbn1", "mutation causes", "marfan syndrome"], ["marfan syndrome", "inherited via", "human dna"], ["human dna", "strand orientation",... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.00327 | 46.42 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:05:19.254847 |
What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation? | CD2AP | reverse strand | strand orientation | Query: What are different ways of connecting CD2AP, a protein involved in cellular processes, and a substance that has a reverse strand orientation?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail)... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["CD2AP", "encoded by", "CD2AP gene"],
["CD2AP gene", "strand orientation", "reverse strand"]
],
"2": [
["CD2AP", "interacts with", "nephrin"],
["nephrin", "encoded by", "NPHS1 gene"],
["NPHS1 gene", "strand orientation", "reverse strand"]
],
"3": [
["CD2AP", "binds",... |
1. Enumerate facets for CD2AP (a protein):
- Professional/occupational: CD2AP is an adaptor protein involved in cytoskeletal organization, membrane trafficking, endocytosis.
- Awards/honors: No direct awards but connected to diseases like focal segmental glomerulosclerosis (FSGS).
- Family/personal: No human family, b... | [
"\n<answer>{\n \"1\": [\n [\"CD2AP\", \"encoded by\", \"CD2AP gene\"],\n [\"CD2AP gene\", \"strand orientation\", \"reverse strand\"]\n ],\n \"2\": [\n [\"CD2AP\", \"interacts with\", \"nephrin\"],\n [\"nephrin\", \"encoded by\", \"NPHS1 gene\"],\n [\"NPHS1 gene\", \"strand orientation\", \"revers... | [
" [encoded by] cd2ap gene | cd2ap gene [strand orientation] reverse strand",
" [interacts with] nephrin | nephrin [encoded by] nphs1 gene | nphs1 gene [strand orientation] reverse strand",
" [binds] actin | actin [binds indirectly] dna | dna [strand orientation] reverse strand",
" [mutation causes] fsgs | fsg... | [[["cd2ap", "encoded by", "cd2ap gene"], ["cd2ap gene", "strand orientation", "reverse strand"]], [["cd2ap", "interacts with", "nephrin"], ["nephrin", "encoded by", "nphs1 gene"], ["nphs1 gene", "strand orientation", "reverse strand"]], [["cd2ap", "binds", "actin"], ["actin", "binds indirectly", "dna"], ["dna", "strand... | 14 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0,
0
] | 12 | 0.003166 | 39.94 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:05:59.201638 |
What are different ways of connecting SLC22A3, a gene, and a substance that is expressed in the gastric mucosa? | SLC22A3 | gastric mucosa | expressed in | Query: What are different ways of connecting SLC22A3, a gene, and a substance that is expressed in the gastric mucosa?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain th... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["SLC22A3", "expressed in", "gastric mucosa"]
],
"2": [
["SLC22A3", "encodes", "Organic cation transporter 3"],
["Organic cation transporter 3", "expressed in", "gastric mucosa"]
],
"3": [
["SLC22A3", "member of", "SLC22 transporter family"],
["SLC22 transporter family", ... |
Step 1: Enumerate distinct facets/properties of SLC22A3:
- Facet 1: Professional/functional role - SLC22A3 is a gene encoding Organic Cation Transporter 3 (OCT3).
- Facet 2: Tissue expression pattern - SLC22A3 is expressed in various tissues; known to have expression in the gastric mucosa.
- Facet 3: Disease associati... | [
"\n<answer>{\n \"1\": [\n [\"SLC22A3\", \"expressed in\", \"gastric mucosa\"]\n ],\n \"2\": [\n [\"SLC22A3\", \"encodes\", \"Organic cation transporter 3\"],\n [\"Organic cation transporter 3\", \"expressed in\", \"gastric mucosa\"]\n ],\n \"3\": [\n [\"SLC22A3\", \"member of\", \"SLC22 transporter... | [
" [expressed in] gastric mucosa",
" [encodes] organic cation transporter 3 | organic cation transporter 3 [expressed in] gastric mucosa",
" [member of] slc22 transporter family | slc22 transporter family [expressed in] gastric mucosa",
" [transports] histamine | histamine [expressed in] gastric mucosa",
" [... | [[["slc22a3", "expressed in", "gastric mucosa"]], [["slc22a3", "encodes", "organic cation transporter 3"], ["organic cation transporter 3", "expressed in", "gastric mucosa"]], [["slc22a3", "member of", "slc22 transporter family"], ["slc22 transporter family", "expressed in", "gastric mucosa"]], [["slc22a3", "transports... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002849 | 37.93 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:06:37.134417 |
What are different ways of connecting DDRGK1, a protein, and a substance that is expressed in the tonsil? | DDRGK1 | tonsil | expressed in | Query: What are different ways of connecting DDRGK1, a protein, and a substance that is expressed in the tonsil?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that beg... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of DDRGK1:
- Gene/protein role: DDRGK1 is known as a ER membrane protein involved in ubiquitination.
- Associated pathway: DDRGK1 is involved in NF-kB signaling.
- Interaction: DDRGK1 interacts with UFM1 (ubiquitin-fold modifier 1).
- Cell/tissue expression: DDRGK1 is expressed in immune-rel... | [
"<think>\n1. Enumerate facets of DDRGK1:\n- Gene/protein role: DDRGK1 is known as a ER membrane protein involved in ubiquitination.\n- Associated pathway: DDRGK1 is involved in NF-kB signaling.\n- Interaction: DDRGK1 interacts with UFM1 (ubiquitin-fold modifier 1).\n- Cell/tissue expression: DDRGK1 is expressed in ... | [
" [expressed in] t lymphocytes | t lymphocytes [expressed in] tonsil",
" [interacts with] ufm1 | ufm1 [expressed in] immune cells | immune cells [expressed in] tonsil",
" [involved in] nf-kb signaling pathway | nf-kb signaling pathway [activated in] tonsil immune cells | tonsil immune cells [expressed in] tonsi... | [[["ddrgk1", "expressed in", "t lymphocytes"], ["t lymphocytes", "expressed in", "tonsil"]], [["ddrgk1", "interacts with", "ufm1"], ["ufm1", "expressed in", "immune cells"], ["immune cells", "expressed in", "tonsil"]], [["ddrgk1", "involved in", "nf-kb signaling pathway"], ["nf-kb signaling pathway", "activated in", "t... | 12 | [
1,
1,
1,
0,
0,
1,
1,
1,
1,
1,
0,
1
] | 9 | 0.002878 | 23.97 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:07:01.105055 | |
What are different ways of connecting HECW1, a gene, and a substance that encodes cytochrome c in somatic cells? | HECW1 | cytochrome c, somatic | encodes | Query: What are different ways of connecting HECW1, a gene, and a substance that encodes cytochrome c in somatic cells?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain t... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["HECW1", "ubiquitinates", "p53"],
["p53", "regulates", "apoptosis proteins"],
["apoptosis proteins", "activate", "CYCS gene"],
["CYCS gene", "encodes", "cytochrome c, somatic"]
],
"2": [
["HECW1 gene", "located on", "chromosome 7"],
["chromosome 7"... |
1. Enumerate facets of HECW1:
- Facet 1: HECW1 is an E3 ubiquitin-protein ligase (professional/occupational).
- Facet 2: HECW1 interacts with p53 protein, involved in apoptosis (collaborative work).
- Facet 3: HECW1 is encoded by the HECW1 gene on human chromosome 7 (geographic/genetic locus).
- Facet 4: HEC... | [
" \n<answer> \n{ \n \"1\": [ \n [\"HECW1\", \"ubiquitinates\", \"p53\"], \n [\"p53\", \"regulates\", \"apoptosis proteins\"], \n [\"apoptosis proteins\", \"activate\", \"CYCS gene\"], \n [\"CYCS gene\", \"encodes\", \"cytochrome c, somatic\"] \n ], \n \"2\": [ \n [\"HECW1 gene\", \"locat... | [
" [ubiquitinates] p53 | p53 [regulates] apoptosis proteins | apoptosis proteins [activate] cycs gene | cycs gene [encodes] cytochrome c, somatic",
" [located on] chromosome 7 | chromosome 7 [contains] cycs gene | cycs gene [encodes] cytochrome c, somatic",
" [has paralog] hecw2 | hecw2 [involved in] mitochondri... | [[["hecw1", "ubiquitinates", "p53"], ["p53", "regulates", "apoptosis proteins"], ["apoptosis proteins", "activate", "cycs gene"], ["cycs gene", "encodes", "cytochrome c, somatic"]], [["hecw1 gene", "located on", "chromosome 7"], ["chromosome 7", "contains", "cycs gene"], ["cycs gene", "encodes", "cytochrome c, somatic"... | 12 | [
1,
1,
1,
0,
1,
0,
1,
1,
0,
0,
0,
0
] | 6 | 0.00366 | 29.04 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:07:30.149549 |
What are different ways of connecting AKAP6, a protein involved in cellular signaling, and a substance that encodes for LDL receptor-related protein 2? | AKAP6 | LDL receptor related protein 2 | encodes | Query: What are different ways of connecting AKAP6, a protein involved in cellular signaling, and a substance that encodes for LDL receptor-related protein 2?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relations... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["AKAP6", "anchors", "PKA"],
["PKA", "phosphorylates", "endocytic receptor proteins"],
["endocytic receptor proteins", "associated with", "LDL receptor related protein 2"],
["LDL receptor related protein 2 gene", "encodes", "LDL receptor related protein 2"]
],
"2": [
["AKAP6"... |
1. Enumerate facets of AKAP6:
- Professional role: AKAP6 is A-kinase anchor protein 6, involved in cAMP signaling & cellular signal transduction.
- Cellular location: Localizes to the nuclear membrane, scaffold protein.
- Protein interactions: Interacts with PKA regulatory subunits, other scaffold proteins.
- Tissue e... | [
"\n<answer>{\n \"1\": [\n [\"AKAP6\", \"anchors\", \"PKA\"],\n [\"PKA\", \"phosphorylates\", \"endocytic receptor proteins\"],\n [\"endocytic receptor proteins\", \"associated with\", \"LDL receptor related protein 2\"],\n [\"LDL receptor related protein 2 gene\", \"encodes\", \"LDL receptor related pr... | [
" [anchors] pka | pka [phosphorylates] endocytic receptor proteins | endocytic receptor proteins [associated with] ldl receptor related protein 2 | ldl receptor related protein 2 gene [encodes] ldl receptor related protein 2",
" [expressed in] neurons | neurons [express] ldl receptor related protein 2 gene | ldl ... | [[["akap6", "anchors", "pka"], ["pka", "phosphorylates", "endocytic receptor proteins"], ["endocytic receptor proteins", "associated with", "ldl receptor related protein 2"], ["ldl receptor related protein 2 gene", "encodes", "ldl receptor related protein 2"]], [["akap6", "expressed in", "neurons"], ["neurons", "expres... | 12 | [
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1,
1
] | 11 | 0.00325 | 26.14 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:07:56.293466 |
What are different ways of connecting CACNA1C, a gene associated with calcium channels, and a substance that is expressed in the left coronary artery? | CACNA1C | left coronary artery | expressed in | Query: What are different ways of connecting CACNA1C, a gene associated with calcium channels, and a substance that is expressed in the left coronary artery?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["CACNA1C", "encodes", "L-type calcium channel alpha-1C subunit"],
["L-type calcium channel alpha-1C subunit", "expressed in", "left coronary artery"]
],
"2": [
["CACNA1C", "located on chromosome", "Chromosome 12"],
["Chromosome 12", "contains gene", "ACE (angiotensin-converting ... |
Step 1: Enumerate facets of CACNA1C:
1. Molecular function - encodes the alpha-1C subunit of L-type voltage-dependent calcium channels.
2. Associated diseases - mutations cause Timothy syndrome and linked to bipolar disorder.
3. Expression patterns - expressed in cardiac muscle and brain.
4. Protein interactions - int... | [
"\n<answer>{\n \"1\": [\n [\"CACNA1C\", \"encodes\", \"L-type calcium channel alpha-1C subunit\"],\n [\"L-type calcium channel alpha-1C subunit\", \"expressed in\", \"left coronary artery\"]\n ],\n \"2\": [\n [\"CACNA1C\", \"located on chromosome\", \"Chromosome 12\"],\n [\"Chromosome 12\", \"contain... | [
" [encodes] l-type calcium channel alpha-1c subunit | l-type calcium channel alpha-1c subunit [expressed in] left coronary artery",
" [located on chromosome] chromosome 12 | chromosome 12 [contains gene] ace (angiotensin-converting enzyme) | ace [expressed in] left coronary artery",
" [mutated in] timothy syndr... | [[["cacna1c", "encodes", "l-type calcium channel alpha-1c subunit"], ["l-type calcium channel alpha-1c subunit", "expressed in", "left coronary artery"]], [["cacna1c", "located on chromosome", "chromosome 12"], ["chromosome 12", "contains gene", "ace (angiotensin-converting enzyme)"], ["ace", "expressed in", "left coro... | 15 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 15 | 0.003178 | 27.63 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:08:23.930113 |
What are different ways of connecting DOT1L, a protein involved in gene regulation, and a substance that is expressed in Brodmann area 46? | DOT1L | Brodmann area 46 | expressed in | Query: What are different ways of connecting DOT1L, a protein involved in gene regulation, and a substance that is expressed in Brodmann area 46?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) fo... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["DOT1L", "methylates histone H3K79", "histone H3K79"],
["histone H3K79", "regulates expression of", "BDNF"],
["BDNF", "expressed in", "Brodmann area 46"]
],
"2": [
["DOT1L", "involved in epigenetic regulation of", "FOXP2"],
["FOXP2", "expressed in", "Brodmann area 46"]
],... |
1. Enumerate facets of DOT1L:
- Profession: DOT1L is a histone methyltransferase involved in gene regulation and epigenetics.
- Biochemical function: catalyzes methylation of histone H3 at lysine 79 (H3K79).
- Collaboration: interacts with MLL fusion proteins in leukemia.
- Related pathways: implicated in regulation o... | [
"\n\n<answer>{\n \"1\": [\n [\"DOT1L\", \"methylates histone H3K79\", \"histone H3K79\"],\n [\"histone H3K79\", \"regulates expression of\", \"BDNF\"],\n [\"BDNF\", \"expressed in\", \"Brodmann area 46\"]\n ],\n \"2\": [\n [\"DOT1L\", \"involved in epigenetic regulation of\", \"FOXP2\"],\n [\"FOXP... | [
" [methylates histone h3k79] histone h3k79 | histone h3k79 [regulates expression of] bdnf | bdnf [expressed in] brodmann area 46",
" [involved in epigenetic regulation of] foxp2 | foxp2 [expressed in] brodmann area 46",
" [interacts with] mll fusion proteins | mll fusion proteins [regulate expression of] drd1 |... | [[["dot1l", "methylates histone h3k79", "histone h3k79"], ["histone h3k79", "regulates expression of", "bdnf"], ["bdnf", "expressed in", "brodmann area 46"]], [["dot1l", "involved in epigenetic regulation of", "foxp2"], ["foxp2", "expressed in", "brodmann area 46"]], [["dot1l", "interacts with", "mll fusion proteins"],... | 13 | [
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003878 | 28.48 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:08:52.409179 |
What are different ways of connecting PRRC2C, a gene, and a substance that is expressed in the spinal cord? | PRRC2C | spinal cord | expressed in | Query: What are different ways of connecting PRRC2C, a gene, and a substance that is expressed in the spinal cord?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that b... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets of PRRC2C:
- Gene function: Role in RNA binding/splicing
- Expression: Expressed in various tissues including brain and spinal cord-related areas
- Molecular interactions: Interacts with RNA-binding proteins
- Related pathways: RNA metabolism, neuronal function pathways
- Dise... | [
"<think>\n1. Enumerate facets of PRRC2C:\n - Gene function: Role in RNA binding/splicing\n - Expression: Expressed in various tissues including brain and spinal cord-related areas\n - Molecular interactions: Interacts with RNA-binding proteins\n - Related pathways: RNA metabolism, neuronal function pathways... | [
" [expressed in] spinal cord",
" [member of] prrc2 family | prrc2 family [expressed in] spinal cord",
" [interacts with] fragile x mental retardation protein (fmrp) | fragile x mental retardation protein (fmrp) [expressed in] spinal cord",
" [regulates] mrna of substance p | mrna of substance p [expressed in]... | [[["prrc2c", "expressed in", "spinal cord"]], [["prrc2c", "member of", "prrc2 family"], ["prrc2 family", "expressed in", "spinal cord"]], [["prrc2c", "interacts with", "fragile x mental retardation protein (fmrp)"], ["fragile x mental retardation protein (fmrp)", "expressed in", "spinal cord"]], [["prrc2c", "regulates"... | 12 | [
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1,
1
] | 11 | 0.003093 | 45.94 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:09:38.351450 | |
What are different ways of connecting SLC4A1AP, a gene, and a substance that is expressed in the nucleus accumbens? | SLC4A1AP | nucleus accumbens | expressed in | Query: What are different ways of connecting SLC4A1AP, a gene, and a substance that is expressed in the nucleus accumbens?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chai... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["SLC4A1AP", "interacts with", "SLC4A1"],
["SLC4A1", "expressed in", "nucleus accumbens"]
],
"2": [
["SLC4A1AP", "located on chromosome", "17p13.1"],
["17p13.1", "contains gene", "TP53"],
["TP53", "expressed in", "nucleus accumbens"]
],
"3": [
["SLC4A1AP", "co-expres... |
1. Enumerate facets for SLC4A1AP:
- Gene function (protein coding, involved in cellular processes)
- Associated proteins or pathways (interactions with ion transporters or cellular pH regulators)
- Chromosomal location (chromosome 17p13.1)
- Clinical associations (any diseases or phenotypes linked)
- Expression tissue... | [
"\n<answer>\n{\n \"1\": [\n [\"SLC4A1AP\", \"interacts with\", \"SLC4A1\"],\n [\"SLC4A1\", \"expressed in\", \"nucleus accumbens\"]\n ],\n \"2\": [\n [\"SLC4A1AP\", \"located on chromosome\", \"17p13.1\"],\n [\"17p13.1\", \"contains gene\", \"TP53\"],\n [\"TP53\", \"expressed in\", \"nucleus accum... | [
" [interacts with] slc4a1 | slc4a1 [expressed in] nucleus accumbens",
" [located on chromosome] 17p13.1 | 17p13.1 [contains gene] tp53 | tp53 [expressed in] nucleus accumbens",
" [co-expressed with] dat1 (slc6a3) | dat1 (slc6a3) [expressed in] nucleus accumbens",
" [studied by] national institute of neurologi... | [[["slc4a1ap", "interacts with", "slc4a1"], ["slc4a1", "expressed in", "nucleus accumbens"]], [["slc4a1ap", "located on chromosome", "17p13.1"], ["17p13.1", "contains gene", "tp53"], ["tp53", "expressed in", "nucleus accumbens"]], [["slc4a1ap", "co-expressed with", "dat1 (slc6a3)"], ["dat1 (slc6a3)", "expressed in", "n... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002408 | 15.81 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:09:54.159018 |
What are different ways of connecting VPS35, a protein associated with neurodegenerative diseases, and a substance that is expressed in the stromal cells of the endometrium? | VPS35 | stromal cell of endometrium | expressed in | Query: What are different ways of connecting VPS35, a protein associated with neurodegenerative diseases, and a substance that is expressed in the stromal cells of the endometrium?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tr... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["VPS35", "member of", "retromer complex"],
["retromer complex", "regulates trafficking of", "IGF1 receptor"],
["IGF1 receptor", "expressed in", "stromal cell of endometrium"]
],
"2": [
["VPS35", "member of", "retromer complex"],
["retromer complex", "interacts with", "SNX27... |
1. Enumerate 6-8 VPS35 facets:
- VPS35 is a core component of the retromer complex (cell biology/professional domain).
- VPS35 mutations are linked to Parkinson’s disease (medical/genetic domain).
- VPS35 is involved in endosomal protein sorting (biological process domain).
- VPS35 interacts with proteins such as SNX... | [
"\n\n<answer>{\n \"1\": [\n [\"VPS35\", \"member of\", \"retromer complex\"],\n [\"retromer complex\", \"regulates trafficking of\", \"IGF1 receptor\"],\n [\"IGF1 receptor\", \"expressed in\", \"stromal cell of endometrium\"]\n ],\n \"2\": [\n [\"VPS35\", \"member of\", \"retromer complex\"],\n [\... | [
" [member of] retromer complex | retromer complex [regulates trafficking of] igf1 receptor | igf1 receptor [expressed in] stromal cell of endometrium",
" [member of] retromer complex | retromer complex [interacts with] snx27 | snx27 [regulates recycling of] prolactin receptor | prolactin receptor [expressed in] s... | [[["vps35", "member of", "retromer complex"], ["retromer complex", "regulates trafficking of", "igf1 receptor"], ["igf1 receptor", "expressed in", "stromal cell of endometrium"]], [["vps35", "member of", "retromer complex"], ["retromer complex", "interacts with", "snx27"], ["snx27", "regulates recycling of", "prolactin... | 12 | [
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
0
] | 10 | 0.003701 | 29.6 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:10:23.763433 |
What are different ways of connecting SLC4A8, a gene, and a substance that has a reverse strand orientation? | SLC4A8 | reverse strand | strand orientation | Query: What are different ways of connecting SLC4A8, a gene, and a substance that has a reverse strand orientation?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["SLC4A8", "encodes protein", "sodium-driven chloride/bicarbonate exchanger"],
["sodium-driven chloride/bicarbonate exchanger", "is membrane protein of", "kidney cells"],
["kidney cells", "contain DNA with", "reverse strand orientation"]
],
"2": [
["SLC4A8", "member of gene famil... |
Enumerating facets of SLC4A8:
1. Gene function: SLC4A8 encodes a sodium-driven chloride/bicarbonate exchanger protein involved in ion transport and pH regulation.
2. Chromosomal location: SLC4A8 is located on human chromosome 20.
3. Species relevance: Present in Homo sapiens and conserved across mammals such as mice.... | [
"\n<answer>{\n \"1\": [\n [\"SLC4A8\", \"encodes protein\", \"sodium-driven chloride/bicarbonate exchanger\"],\n [\"sodium-driven chloride/bicarbonate exchanger\", \"is membrane protein of\", \"kidney cells\"],\n [\"kidney cells\", \"contain DNA with\", \"reverse strand orientation\"]\n ],\n \"2\": [\n ... | [
" [encodes protein] sodium-driven chloride/bicarbonate exchanger | sodium-driven chloride/bicarbonate exchanger [is membrane protein of] kidney cells | kidney cells [contain dna with] reverse strand orientation",
" [member of gene family] slc4 gene family | slc4 gene family [includes] slc4a1 | slc4a1 [has strand ... | [[["slc4a8", "encodes protein", "sodium-driven chloride/bicarbonate exchanger"], ["sodium-driven chloride/bicarbonate exchanger", "is membrane protein of", "kidney cells"], ["kidney cells", "contain dna with", "reverse strand orientation"]], [["slc4a8", "member of gene family", "slc4 gene family"], ["slc4 gene family",... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002309 | 17.39 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:10:41.159623 |
What are different ways of connecting Aaron Burr, the American politician, and someone who is known for their occupation as a banker? | Aaron Burr | banker | occupation | Query: What are different ways of connecting Aaron Burr, the American politician, and someone who is known for their occupation as a banker?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Aaron Burr", "father of", "Theodosia Burr Alston"],
["Theodosia Burr Alston", "spouse", "Joseph Alston"],
["Joseph Alston", "occupation", "banker"]
],
"2": [
["Aaron Burr", "education", "Princeton University"],
["Princeton University", "alumnus", "John Stevens (engineer)"]... |
Enumerate facets of Aaron Burr:
1. Professional/occupational: Vice President of the United States
2. Family/personal: Father of Theodosia Burr Alston
3. Educational: Graduate of Princeton University (then College of New Jersey)
4. Historical events: Famous duel with Alexander Hamilton
5. Geographic: Active p... | [
"\n\n<answer>{\n \"1\": [\n [\"Aaron Burr\", \"father of\", \"Theodosia Burr Alston\"],\n [\"Theodosia Burr Alston\", \"spouse\", \"Joseph Alston\"],\n [\"Joseph Alston\", \"occupation\", \"banker\"]\n ],\n \"2\": [\n [\"Aaron Burr\", \"education\", \"Princeton University\"],\n [\"Princeton Univer... | [
" [father of] theodosia burr alston | theodosia burr alston [spouse] joseph alston | joseph alston [occupation] banker",
" [education] princeton university | princeton university [alumnus] john stevens (engineer) | john stevens [occupation] banker",
" [professional] vice president of the united states | vice pr... | [[["aaron burr", "father of", "theodosia burr alston"], ["theodosia burr alston", "spouse", "joseph alston"], ["joseph alston", "occupation", "banker"]], [["aaron burr", "education", "princeton university"], ["princeton university", "alumnus", "john stevens (engineer)"], ["john stevens", "occupation", "banker"]], [["aa... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002418 | 18.52 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:10:59.680360 |
What are different ways of connecting Anthony Eden, a former British Prime Minister, and someone who held the military rank of lieutenant? | Anthony Eden | lieutenant | military rank | Query: What are different ways of connecting Anthony Eden, a former British Prime Minister, and someone who held the military rank of lieutenant?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) fo... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Anthony Eden", "military rank", "lieutenant"]
],
"2": [
["Anthony Eden", "son of", "Sir William Eden (2nd Baronet)"],
["Sir William Eden (2nd Baronet)", "military rank", "lieutenant"]
],
"3": [
["Anthony Eden", "collaborated with", "Winston Churchill"],
["Winston Churc... |
1. Facets of Anthony Eden:
- Professional/occupation: British Prime Minister, Foreign Secretary, politician, Conservative Party leader
- Awards/honors: Order of Merit
- Family/personal: Son of Sir William Eden (2nd Baronet), married to Clarissa Spencer-Churchill
- Institutions: Member of Parliament (UK Par... | [
"\n\n<answer>{\n \"1\": [\n [\"Anthony Eden\", \"military rank\", \"lieutenant\"]\n ],\n \"2\": [\n [\"Anthony Eden\", \"son of\", \"Sir William Eden (2nd Baronet)\"],\n [\"Sir William Eden (2nd Baronet)\", \"military rank\", \"lieutenant\"]\n ],\n \"3\": [\n [\"Anthony Eden\", \"collaborated with\... | [
" [military rank] lieutenant",
" [son of] sir william eden (2nd baronet) | sir william eden (2nd baronet) [military rank] lieutenant",
" [collaborated with] winston churchill | winston churchill [military rank] lieutenant",
" [educated at] christ church, oxford | christ church, oxford [alumni with military ra... | [[["anthony eden", "military rank", "lieutenant"]], [["anthony eden", "son of", "sir william eden (2nd baronet)"], ["sir william eden (2nd baronet)", "military rank", "lieutenant"]], [["anthony eden", "collaborated with", "winston churchill"], ["winston churchill", "military rank", "lieutenant"]], [["anthony eden", "ed... | 12 | [
1,
1,
1,
1,
1,
0,
1,
1,
0,
0,
0,
0
] | 7 | 0.002194 | 13.21 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:11:12.888511 |
What are different ways of connecting Dong Biwu, a prominent Chinese politician, and someone who is the spouse of Li Xiannian? | Dong Biwu | Lin Jiamei | spouse | Query: What are different ways of connecting Dong Biwu, a prominent Chinese politician, and someone who is the spouse of Li Xiannian?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a cont... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Dong Biwu", "colleague of", "Li Xiannian"],
["Li Xiannian", "spouse", "Lin Jiamei"]
],
"2": [
["Dong Biwu", "successor of", "Li Xiannian"],
["Li Xiannian", "spouse", "Lin Jiamei"]
],
"3": [
["Dong Biwu", "member of", "Chinese Communist Party Politburo"],
["Li Xian... |
1. Enumerate facets of Dong Biwu:
- Professional/Occupational: Dong Biwu was a prominent Chinese politician, Vice President of China, member of Communist Party leadership.
- Awards/Honors: Received national honors related to revolutionary contributions.
- Family/Personal: Has known family members; some family ties (bu... | [
"\n\n<answer>\n{\n \"1\": [\n [\"Dong Biwu\", \"colleague of\", \"Li Xiannian\"],\n [\"Li Xiannian\", \"spouse\", \"Lin Jiamei\"]\n ],\n \"2\": [\n [\"Dong Biwu\", \"successor of\", \"Li Xiannian\"],\n [\"Li Xiannian\", \"spouse\", \"Lin Jiamei\"]\n ],\n \"3\": [\n [\"Dong Biwu\", \"member of\",... | [
" [colleague of] li xiannian | li xiannian [spouse] lin jiamei",
" [successor of] li xiannian | li xiannian [spouse] lin jiamei",
" [member of] chinese communist party politburo | li xiannian [member of] chinese communist party politburo | li xiannian [spouse] lin jiamei",
" [held position] vice president of ... | [[["dong biwu", "colleague of", "li xiannian"], ["li xiannian", "spouse", "lin jiamei"]], [["dong biwu", "successor of", "li xiannian"], ["li xiannian", "spouse", "lin jiamei"]], [["dong biwu", "member of", "chinese communist party politburo"], ["li xiannian", "member of", "chinese communist party politburo"], ["li xia... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002895 | 32.34 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:11:45.227165 |
What are different ways of connecting J. D. Vance, an American politician and author, and someone who is associated with the Norwegian American ethnic group? | J. D. Vance | Norwegian Americans | ethnic group | Query: What are different ways of connecting J. D. Vance, an American politician and author, and someone who is associated with the Norwegian American ethnic group?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, rel... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
</think>
<answer>{
"1": [
["J. D. Vance", "has ethnic background", "Norwegian Americans"],
["Norwegian Americans", "ethnic group", "Norwegian Americans"]
],
"2": [
["J. D. Vance", "born in", "Ohio"],
["Ohio", "has population", "Norwegian Americans"],
["Norwegian Americans", "ethnic group", "... |
1. Facets of J. D. Vance to explore connections:
- Professional: Author, politician, venture capitalist
- Awards: Bestselling author status (The Hillbilly Elegy)
- Family/personal: Family heritage, marital family (wife and in-laws)
- Institutions: Ohio Senate, Yale Law School, University of Cincinnati
- Geographic: Oh... | [
"\n</think>\n\n<answer>{\n \"1\": [\n [\"J. D. Vance\", \"has ethnic background\", \"Norwegian Americans\"],\n [\"Norwegian Americans\", \"ethnic group\", \"Norwegian Americans\"]\n ],\n \"2\": [\n [\"J. D. Vance\", \"born in\", \"Ohio\"],\n [\"Ohio\", \"has population\", \"Norwegian Americans\"],\n ... | [
" [has ethnic background] norwegian americans | norwegian americans [ethnic group] norwegian americans",
" [born in] ohio | ohio [has population] norwegian americans | norwegian americans [ethnic group] norwegian americans",
" [member of] ohio senate | ohio senate [represents region with population] norwegian a... | [[["j. d. vance", "has ethnic background", "norwegian americans"], ["norwegian americans", "ethnic group", "norwegian americans"]], [["j. d. vance", "born in", "ohio"], ["ohio", "has population", "norwegian americans"], ["norwegian americans", "ethnic group", "norwegian americans"]], [["j. d. vance", "member of", "ohio... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002705 | 24.61 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:12:09.837940 |
What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of the United Nations, and someone who is known for their work as a poet? | Boutros Boutros-Ghali | poet | occupation | Query: What are different ways of connecting Boutros Boutros-Ghali, the former Secretary-General of the United Nations, and someone who is known for their work as a poet?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (hea... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Facet enumeration for Boutros Boutros-Ghali:
1. Professional/occupational roles: Secretary-General of the United Nations, Egyptian diplomat, lawyer, politician
2. Awards/Honors: Nobel Peace Prize nominee (not winner), UNESCO involvement (UN cultural agency)
3. Family/personal: Egyptian nationality, possibly fam... | [
"<think>\nFacet enumeration for Boutros Boutros-Ghali:\n1. Professional/occupational roles: Secretary-General of the United Nations, Egyptian diplomat, lawyer, politician\n2. Awards/Honors: Nobel Peace Prize nominee (not winner), UNESCO involvement (UN cultural agency)\n3. Family/personal: Egyptian nationality, pos... | [
" [was secretary-general of] united nations | united nations [was previously led by] dag hammarskjöld | dag hammarskjöld [occupation] poet",
" [was secretary-general of] united nations | united nations [partnered with] unesco | unesco [organizational award received by] pablo neruda | pablo neruda [occupation] poe... | [[["boutros boutros-ghali", "was secretary-general of", "united nations"], ["united nations", "was previously led by", "dag hammarskj\u00f6ld"], ["dag hammarskj\u00f6ld", "occupation", "poet"]], [["boutros boutros-ghali", "was secretary-general of", "united nations"], ["united nations", "partnered with", "unesco"], ["u... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003331 | 24.06 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:12:33.904808 | |
What are different ways of connecting William Cavendish, 4th Duke of Devonshire, and someone who is a citizen of the United Kingdom of Great Britain and Ireland? | William Cavendish, 4th Duke of Devonshire | United Kingdom of Great Britain and Ireland | country of citizenship | Query: What are different ways of connecting William Cavendish, 4th Duke of Devonshire, and someone who is a citizen of the United Kingdom of Great Britain and Ireland?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head,... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["William Cavendish, 4th Duke of Devonshire", "Prime Minister of", "Great Britain"],
["Great Britain", "country of citizenship", "United Kingdom of Great Britain and Ireland"]
],
"2": [
["William Cavendish, 4th Duke of Devonshire", "member of", "House of Lords"],
["House of Lord... |
1. Enumerate facets of William Cavendish, 4th Duke of Devonshire:
- Political career (Prime Minister of Great Britain)
- Family relations (member of the Cavendish family, Dukes of Devonshire)
- Geographic associations (born and lived mainly in England, UK)
- Educational background (may have attended Cambridge or Oxfor... | [
"\n<answer>\n{\n \"1\": [\n [\"William Cavendish, 4th Duke of Devonshire\", \"Prime Minister of\", \"Great Britain\"],\n [\"Great Britain\", \"country of citizenship\", \"United Kingdom of Great Britain and Ireland\"]\n ],\n \"2\": [\n [\"William Cavendish, 4th Duke of Devonshire\", \"member of\", \"Hou... | [
" [prime minister of] great britain | great britain [country of citizenship] united kingdom of great britain and ireland",
" [member of] house of lords | house of lords [country of citizenship] united kingdom of great britain and ireland",
" [holds title] duke of devonshire | duke of devonshire [country of citi... | [[["william cavendish, 4th duke of devonshire", "prime minister of", "great britain"], ["great britain", "country of citizenship", "united kingdom of great britain and ireland"]], [["william cavendish, 4th duke of devonshire", "member of", "house of lords"], ["house of lords", "country of citizenship", "united kingdom ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.00268 | 22.87 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:12:56.773523 |
What are different ways of connecting Henry Pelham, a British statesman, and someone who is buried at the Church of All Saints in Wroxton? | Henry Pelham | Church of All Saints, Wroxton | place of burial | Query: What are different ways of connecting Henry Pelham, a British statesman, and someone who is buried at the Church of All Saints in Wroxton?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) fo... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Henry Pelham", "brother of", "Thomas Pelham-Holles, 1st Duke of Newcastle"],
["Thomas Pelham-Holles, 1st Duke of Newcastle", "owner of estate", "Wroxton Abbey"],
["Wroxton Abbey", "contains burial site", "Church of All Saints, Wroxton"],
["Thomas Pelham-Holles, 1st Duke of Newcastl... |
1. FACETS of Henry Pelham:
- Professional/occupational: British statesman, Prime Minister of Great Britain
- Family/personal: Member of the Pelham family, brother Thomas Pelham-Holles (Duke of Newcastle)
- Education: Educated at Clare College, Cambridge
- Geographic/place-based: Born in England, lived/worked in Londo... | [
"\n<answer>{\n \"1\": [\n [\"Henry Pelham\", \"brother of\", \"Thomas Pelham-Holles, 1st Duke of Newcastle\"],\n [\"Thomas Pelham-Holles, 1st Duke of Newcastle\", \"owner of estate\", \"Wroxton Abbey\"],\n [\"Wroxton Abbey\", \"contains burial site\", \"Church of All Saints, Wroxton\"],\n [\"Thomas Pel... | [
" [brother of] thomas pelham-holles, 1st duke of newcastle | thomas pelham-holles, 1st duke of newcastle [owner of estate] wroxton abbey | wroxton abbey [contains burial site] church of all saints, wroxton | thomas pelham-holles, 1st duke of newcastle [place of burial] church of all saints, wroxton",
" [brother o... | [[["henry pelham", "brother of", "thomas pelham-holles, 1st duke of newcastle"], ["thomas pelham-holles, 1st duke of newcastle", "owner of estate", "wroxton abbey"], ["wroxton abbey", "contains burial site", "church of all saints, wroxton"], ["thomas pelham-holles, 1st duke of newcastle", "place of burial", "church of ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
0,
1,
1,
1
] | 11 | 0.003318 | 32.87 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:13:29.647095 |
What are different ways of connecting Jon Corzine, the former governor of New Jersey, and someone who participated in the Global Conference 2022? | Jon Corzine | Global Conference 2022 | participant in | Query: What are different ways of connecting Jon Corzine, the former governor of New Jersey, and someone who participated in the Global Conference 2022?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, t... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Jon Corzine", "CEO of", "MF Global"],
["MF Global", "had executive", "Steve Weinstein (MF Global)"],
["Steve Weinstein (MF Global)", "participant in", "Global Conference 2022"]
],
"2": [
["Jon Corzine", "former Governor of", "New Jersey"],
["New Jersey", "represented by S... |
1. Enumerate Jon Corzine facets/dimensions for connection paths:
- Professional/occupational: Former Governor of New Jersey, former U.S. Senator, former CEO of MF Global.
- Education: Attended University of Illinois Urbana-Champaign, attended University of Chicago Graduate School of Business.
- Family/personal... | [
" \n<answer>{ \n\"1\": [ \n [\"Jon Corzine\", \"CEO of\", \"MF Global\"], \n [\"MF Global\", \"had executive\", \"Steve Weinstein (MF Global)\"], \n [\"Steve Weinstein (MF Global)\", \"participant in\", \"Global Conference 2022\"] \n], \n\"2\": [ \n [\"Jon Corzine\", \"former Governor of\", \"New Jersey... | [
" [ceo of] mf global | mf global [had executive] steve weinstein (mf global) | steve weinstein (mf global) [participant in] global conference 2022",
" [former governor of] new jersey | ('new jersey', 'represented by senator cory booker') | cory booker [participant in] global conference 2022",
" [educated at] un... | [[["jon corzine", "ceo of", "mf global"], ["mf global", "had executive", "steve weinstein (mf global)"], ["steve weinstein (mf global)", "participant in", "global conference 2022"]], [["jon corzine", "former governor of", "new jersey"], ["new jersey", "represented by senator cory booker"], ["cory booker", "participant ... | 12 | [
1,
0,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 11 | 0.003038 | 19.83 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:13:49.474809 |
What are different ways of connecting Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne, and someone who was educated at St John's College? | Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne | St John's College | educated at | Query: What are different ways of connecting Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne, and someone who was educated at St John's College?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tai... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne", "educated at", "Clare College, Cambridge"],
["Clare College, Cambridge", "part of", "University of Cambridge"],
["Isaac Newton", "educated at", "St John's College, Cambridge"]
],
"2": [
["Thomas Pelham-Holles, 1st Duke of... |
1. Facets of Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne:
- Education: He was educated at Clare College, Cambridge.
- Professional: Prime Minister of Great Britain, Secretary of State.
- Family: Pelham family, relationship to Henry Pelham (his brother).
- Geographic: Born or associated with Susse... | [
"\n\n<answer>{\n \"1\": [\n [\"Thomas Pelham-Holles, 1st Duke of Newcastle-upon-Tyne\", \"educated at\", \"Clare College, Cambridge\"],\n [\"Clare College, Cambridge\", \"part of\", \"University of Cambridge\"],\n [\"Isaac Newton\", \"educated at\", \"St John's College, Cambridge\"]\n ],\n \"2\": [\n ... | [
" [educated at] clare college, cambridge | clare college, cambridge [part of] university of cambridge | isaac newton [educated at] st john's college, cambridge",
" [brother] henry pelham | henry pelham [member of] british parliament | charles townshend, 2nd viscount townshend [educated at] st john's college, camb... | [[["thomas pelham-holles, 1st duke of newcastle-upon-tyne", "educated at", "clare college, cambridge"], ["clare college, cambridge", "part of", "university of cambridge"], ["isaac newton", "educated at", "st john's college, cambridge"]], [["thomas pelham-holles, 1st duke of newcastle-upon-tyne", "brother", "henry pelha... | 12 | [
0,
0,
0,
1,
1,
0,
0,
0,
0,
0,
1,
0
] | 3 | 0.003256 | 24.63 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:14:14.103602 |
What are different ways of connecting Stanley Baldwin, a former British Prime Minister, and someone who was born in the London Borough of Camden? | Stanley Baldwin | London Borough of Camden | place of birth | Query: What are different ways of connecting Stanley Baldwin, a former British Prime Minister, and someone who was born in the London Borough of Camden?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, t... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Stanley Baldwin", "member of", "Conservative Party"],
["Conservative Party", "has member born in", "Harriet Harman"],
["Harriet Harman", "place of birth", "London Borough of Camden"]
],
"2": [
["Stanley Baldwin", "studied at", "Trinity College, Cambridge"],
["Trinity Colle... |
1. Enumerate facets for Stanley Baldwin:
- Professional: British Prime Minister, Leader of Conservative Party, MP for Bewdley
- Awards/honors: Companion of Honour, peerage title (Earl Baldwin of Bewdley)
- Family/Personal: Father of Oliver Baldwin, related to Lady Lucy Baldwin (wife), birthplace at Bewdley
- Institut... | [
"\n\n<answer>{\n \"1\": [\n [\"Stanley Baldwin\", \"member of\", \"Conservative Party\"],\n [\"Conservative Party\", \"has member born in\", \"Harriet Harman\"],\n [\"Harriet Harman\", \"place of birth\", \"London Borough of Camden\"]\n ],\n \"2\": [\n [\"Stanley Baldwin\", \"studied at\", \"Trinity ... | [
" [member of] conservative party | conservative party [has member born in] harriet harman | harriet harman [place of birth] london borough of camden",
" [studied at] trinity college, cambridge | trinity college, cambridge [alumnus born in] camden-born historian a.j.p. taylor | a.j.p. taylor [place of birth] londo... | [[["stanley baldwin", "member of", "conservative party"], ["conservative party", "has member born in", "harriet harman"], ["harriet harman", "place of birth", "london borough of camden"]], [["stanley baldwin", "studied at", "trinity college, cambridge"], ["trinity college, cambridge", "alumnus born in", "camden-born hi... | 12 | [
1,
1,
1,
1,
1,
1,
0,
1,
1,
1,
1,
1
] | 11 | 0.003396 | 43.76 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:14:57.863082 |
What are different ways of connecting Harry S. Truman, the 33rd President of the United States, and someone who is the parent of John Gardner Ford? | Harry S. Truman | John Gardner Ford | child | Query: What are different ways of connecting Harry S. Truman, the 33rd President of the United States, and someone who is the parent of John Gardner Ford?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship,... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Harry S. Truman", "was", "33rd President of the United States"],
["33rd President of the United States", "preceded", "Dwight D. Eisenhower (34th President)"],
["Dwight D. Eisenhower (34th President)", "preceded", "Gerald Ford (38th President)"],
["Gerald Ford (38th Pres... |
1. Enumerate facets of Harry S. Truman:
- Professional/occupational: 33rd President of the U.S., Vice President, Senator from Missouri, military service in WWI
- Awards/honors: Medal of Honor recipient, Presidential Medal of Freedom (posthumous), honorary degrees
- Family/personal: spouse (Bess Truman), childr... | [
" \n<answer>{ \n \"1\": [ \n [\"Harry S. Truman\", \"was\", \"33rd President of the United States\"], \n [\"33rd President of the United States\", \"preceded\", \"Dwight D. Eisenhower (34th President)\"], \n [\"Dwight D. Eisenhower (34th President)\", \"preceded\", \"Gerald Ford (38th President)\"], ... | [
" [was] 33rd president of the united states | 33rd president of the united states [preceded] dwight d. eisenhower (34th president) | dwight d. eisenhower (34th president) [preceded] gerald ford (38th president) | gerald ford (38th president) [parent] john gardner ford",
" [served as] president of the united state... | [[["harry s. truman", "was", "33rd president of the united states"], ["33rd president of the united states", "preceded", "dwight d. eisenhower (34th president)"], ["dwight d. eisenhower (34th president)", "preceded", "gerald ford (38th president)"], ["gerald ford (38th president)", "parent", "john gardner ford"]], [["h... | 12 | [
1,
1,
1,
1,
1,
0,
0,
1,
1,
1,
1,
1
] | 10 | 0.003399 | 33.07 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:15:30.936794 |
What are different ways of connecting George David Woods, an influential figure in finance, and someone who has worked in the field of diplomacy? | George David Woods | diplomacy | field of work | Query: What are different ways of connecting George David Woods, an influential figure in finance, and someone who has worked in the field of diplomacy?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, t... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["George David Woods", "president of", "World Bank"],
["World Bank", "field of work", "diplomacy"]
],
"2": [
["George David Woods", "worked with", "United Nations"],
["United Nations", "field of work", "diplomacy"]
],
"3": [
["George David Woods", "attended", "Yale Unive... |
1. Enumerate facets for George David Woods:
- Professional: President of the World Bank (1963-1968); influential in international finance.
- Awards/honors: Received honors related to international development and finance.
- Family/personal: No widely known family connection, but he had contemporaries and successors in... | [
"\n\n<answer>{\n \"1\": [\n [\"George David Woods\", \"president of\", \"World Bank\"],\n [\"World Bank\", \"field of work\", \"diplomacy\"]\n ],\n \"2\": [\n [\"George David Woods\", \"worked with\", \"United Nations\"],\n [\"United Nations\", \"field of work\", \"diplomacy\"]\n ],\n \"3\": [\n ... | [
" [president of] world bank | world bank [field of work] diplomacy",
" [worked with] united nations | united nations [field of work] diplomacy",
" [attended] yale university | yale university [alumni includes] henry kissinger | henry kissinger [field of work] diplomacy",
" [was succeeded by] robert mcnamara |... | [[["george david woods", "president of", "world bank"], ["world bank", "field of work", "diplomacy"]], [["george david woods", "worked with", "united nations"], ["united nations", "field of work", "diplomacy"]], [["george david woods", "attended", "yale university"], ["yale university", "alumni includes", "henry kissin... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.002295 | 28.99 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:15:59.925138 |
What are different ways of connecting Eugene Isaac Meyer, an influential figure in American journalism, and someone who was born in Sydney? | Eugene Isaac Meyer | Sydney | place of birth | Query: What are different ways of connecting Eugene Isaac Meyer, an influential figure in American journalism, and someone who was born in Sydney?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) f... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Eugene Isaac Meyer", "chairman of", "The Washington Post"],
["The Washington Post", "employed", "Christopher Warren"],
["Christopher Warren", "place of birth", "Sydney"]
],
"2": [
["Eugene Isaac Meyer", "first president of", "World Bank"],
["World Bank", "executive direct... |
Step 1: Enumerate facets/attributes of Eugene Isaac Meyer:
1. Professional: Publisher, Financier, First President of the World Bank, Chairman of The Washington Post
2. Family: Married to Agnes Ernst Meyer, father of Katharine Graham
3. Education: Attended Harvard University
4. Geographic: Born in Los Angeles, lived in... | [
"\n\n<answer>\n{\n \"1\": [\n [\"Eugene Isaac Meyer\", \"chairman of\", \"The Washington Post\"],\n [\"The Washington Post\", \"employed\", \"Christopher Warren\"],\n [\"Christopher Warren\", \"place of birth\", \"Sydney\"]\n ],\n \"2\": [\n [\"Eugene Isaac Meyer\", \"first president of\", \"World Ba... | [
" [chairman of] the washington post | the washington post [employed] christopher warren | christopher warren [place of birth] sydney",
" [first president of] world bank | world bank [executive director from] john d. kelly | john d. kelly [place of birth] sydney",
" [spouse] agnes ernst meyer | agnes ernst meyer... | [[["eugene isaac meyer", "chairman of", "the washington post"], ["the washington post", "employed", "christopher warren"], ["christopher warren", "place of birth", "sydney"]], [["eugene isaac meyer", "first president of", "world bank"], ["world bank", "executive director from", "john d. kelly"], ["john d. kelly", "plac... | 14 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 14 | 0.002911 | 25.77 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:16:25.695595 |
What are different ways of connecting William Ewart Gladstone, a prominent British statesman, and someone who was a member of the Whigs political party? | William Ewart Gladstone | Whigs | member of political party | Query: What are different ways of connecting William Ewart Gladstone, a prominent British statesman, and someone who was a member of the Whigs political party?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relation... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["William Ewart Gladstone", "member of political party", "Liberal Party (UK)"],
["Liberal Party (UK)", "predecessor", "Whigs"],
["Whigs", "member of political party", "Whigs"]
],
"2": [
["William Ewart Gladstone", "brother", "Sir Thomas Gladstone"],
["Sir Thomas Gladstone", "... |
Enumerate facets for William Ewart Gladstone:
1. Professional/occupational: British statesman, Prime Minister, Chancellor of the Exchequer, Member of Parliament (MP)
2. Awards/honors: Honorary degrees, notable awards (not many famous awards, but has legacy honors)
3. Family/personal: Son of John Neilson Gladstone, bro... | [
"\n<answer>{\n \"1\": [\n [\"William Ewart Gladstone\", \"member of political party\", \"Liberal Party (UK)\"],\n [\"Liberal Party (UK)\", \"predecessor\", \"Whigs\"],\n [\"Whigs\", \"member of political party\", \"Whigs\"]\n ],\n \"2\": [\n [\"William Ewart Gladstone\", \"brother\", \"Sir Thomas Gla... | [
" [member of political party] liberal party (uk) | liberal party (uk) [predecessor] whigs | whigs [member of political party] whigs",
" [brother] sir thomas gladstone | sir thomas gladstone [member of political party] whigs",
" [worked with] lord palmerston | lord palmerston [member of political party] whigs",
... | [[["william ewart gladstone", "member of political party", "liberal party (uk)"], ["liberal party (uk)", "predecessor", "whigs"], ["whigs", "member of political party", "whigs"]], [["william ewart gladstone", "brother", "sir thomas gladstone"], ["sir thomas gladstone", "member of political party", "whigs"]], [["william... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003644 | 33.69 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:16:59.383682 |
What are different ways of connecting James A. Garfield, the 20th President of the United States, and someone who has served as a military officer? | James A. Garfield | military officer | occupation | Query: What are different ways of connecting James A. Garfield, the 20th President of the United States, and someone who has served as a military officer?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship,... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["James A. Garfield", "served in", "Union Army"],
["Union Army", "included", "Ulysses S. Grant"],
["Ulysses S. Grant", "occupation", "military officer"]
],
"2": [
["James A. Garfield", "served in", "Union Army"],
["Union Army", "included", "Winfield Scott Hancock"],
["Win... |
1. Enumerate facets of James A. Garfield:
- Professional/occupational: President of the United States (20th), U.S. Representative, Major General in Union Army
- Awards/Honors: Received military rank or possibly posthumous honors (less likely documented awards)
- Family/personal: Spouse(s), children, father, or brother... | [
"\n<answer>{\n \"1\": [\n [\"James A. Garfield\", \"served in\", \"Union Army\"],\n [\"Union Army\", \"included\", \"Ulysses S. Grant\"],\n [\"Ulysses S. Grant\", \"occupation\", \"military officer\"]\n ],\n \"2\": [\n [\"James A. Garfield\", \"served in\", \"Union Army\"],\n [\"Union Army\", \"in... | [
" [served in] union army | union army [included] ulysses s. grant | ulysses s. grant [occupation] military officer",
" [served in] union army | union army [included] winfield scott hancock | winfield scott hancock [occupation] military officer",
" [member of] republican party | republican party [included] ruthe... | [[["james a. garfield", "served in", "union army"], ["union army", "included", "ulysses s. grant"], ["ulysses s. grant", "occupation", "military officer"]], [["james a. garfield", "served in", "union army"], ["union army", "included", "winfield scott hancock"], ["winfield scott hancock", "occupation", "military officer... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003732 | 29.04 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:17:28.422755 |
What are different ways of connecting Gladys Presley, the mother of Elvis Presley, and someone who is known for their work as a painter? | Gladys Presley | painter | occupation | Query: What are different ways of connecting Gladys Presley, the mother of Elvis Presley, and someone who is known for their work as a painter?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
1. Enumerate facets for Gladys Presley:
- Family: mother of Elvis Presley, related to Vernon Presley (father), and through Elvis, connected to others.
- Geography: born/raised/associated with Tupelo, Mississippi, Memphis, Tennessee.
- Historical event: associated with early rock'n'roll era, 20th century... | [
"<think> \n1. Enumerate facets for Gladys Presley: \n- Family: mother of Elvis Presley, related to Vernon Presley (father), and through Elvis, connected to others. \n- Geography: born/raised/associated with Tupelo, Mississippi, Memphis, Tennessee. \n- Historical event: associated with early rock'n'roll era, 20t... | [
" [mother of] elvis presley | elvis presley [subject of] andy warhol | andy warhol [occupation] painter",
" [mother of] elvis presley | elvis presley [subject of] peter max | peter max [occupation] painter",
" [born in] tupelo, mississippi | tupelo, mississippi [notable resident] carroll cloar | carroll cloar [... | [[["gladys presley", "mother of", "elvis presley"], ["elvis presley", "subject of", "andy warhol"], ["andy warhol", "occupation", "painter"]], [["gladys presley", "mother of", "elvis presley"], ["elvis presley", "subject of", "peter max"], ["peter max", "occupation", "painter"]], [["gladys presley", "born in", "tupelo,... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003164 | 20.67 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:17:49.095922 | |
What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski? | Nicolas Chopin | Jakub Krzyżanowski | father | Query: What are different ways of connecting Nicolas Chopin, and someone who is the father of Jakub Krzyżanowski?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that be... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Nicolas Chopin", "father of", "Frédéric Chopin"],
["Frédéric Chopin", "friend of", "Jakub Krzyżanowski’s father"],
["Jakub Krzyżanowski’s father", "father", "Jakub Krzyżanowski"]
],
"2": [
["Nicolas Chopin", "taught at", "Warsaw Lyceum"],
["Warsaw Lyceum", "employed", "Jaku... |
1. Enumerate facets of Nicolas Chopin:
- Professional: Teacher/educator
- Family/Personal: Father of Frédéric Chopin
- Geographic: Poland (Warsaw)
- Collaborations: Worked alongside Polish intellectuals, educators
- Educational: Educated in France, taught in Warsaw
- Historical: Lived in Napoleonic era's Poland, influ... | [
"\n<answer>{\n \"1\": [\n [\"Nicolas Chopin\", \"father of\", \"Frédéric Chopin\"],\n [\"Frédéric Chopin\", \"friend of\", \"Jakub Krzyżanowski’s father\"],\n [\"Jakub Krzyżanowski’s father\", \"father\", \"Jakub Krzyżanowski\"]\n ],\n \"2\": [\n [\"Nicolas Chopin\", \"taught at\", \"Warsaw Lyceum\"]... | [
" [father of] frédéric chopin | frédéric chopin [friend of] jakub krzyżanowski’s father | jakub krzyżanowski’s father [father] jakub krzyżanowski",
" [taught at] warsaw lyceum | warsaw lyceum [employed] jakub krzyżanowski’s father | jakub krzyżanowski’s father [father] jakub krzyżanowski",
" [lived in] warsaw |... | [[["nicolas chopin", "father of", "fr\u00e9d\u00e9ric chopin"], ["fr\u00e9d\u00e9ric chopin", "friend of", "jakub krzy\u017canowski\u2019s father"], ["jakub krzy\u017canowski\u2019s father", "father", "jakub krzy\u017canowski"]], [["nicolas chopin", "taught at", "warsaw lyceum"], ["warsaw lyceum", "employed", "jakub kr... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003697 | 41.06 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:18:30.160900 |
What are different ways of connecting Stanley Ann Dunham, the mother of a prominent political figure, and someone who is a member of the Phi Beta Kappa Society? | Stanley Ann Dunham | Phi Beta Kappa Society | member of | Query: What are different ways of connecting Stanley Ann Dunham, the mother of a prominent political figure, and someone who is a member of the Phi Beta Kappa Society?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Stanley Ann Dunham", "mother of", "Barack Obama"],
["Barack Obama", "spouse", "Michelle Obama"],
["Michelle Obama", "member of", "Phi Beta Kappa Society"]
],
"2": [
["Stanley Ann Dunham", "studied at", "University of Hawaii at Manoa"],
["University of Hawaii at Manoa", "alu... |
1. Facets of Stanley Ann Dunham:
- Family: Mother of Barack Obama (a prominent political figure)
- Education: Attended University of Hawaii at Manoa; possibly members of Phi Beta Kappa
- Profession: Anthropologist
- Geographic: Lived and worked in Hawaii, Indonesia, Chicago
- Collaborations: Worked with various anthro... | [
"\n<answer>{\n \"1\": [\n [\"Stanley Ann Dunham\", \"mother of\", \"Barack Obama\"],\n [\"Barack Obama\", \"spouse\", \"Michelle Obama\"],\n [\"Michelle Obama\", \"member of\", \"Phi Beta Kappa Society\"]\n ],\n \"2\": [\n [\"Stanley Ann Dunham\", \"studied at\", \"University of Hawaii at Manoa\"],\n... | [
" [mother of] barack obama | barack obama [spouse] michelle obama | michelle obama [member of] phi beta kappa society",
" [studied at] university of hawaii at manoa | university of hawaii at manoa [alumnus member] alice g. dewey | alice g. dewey [member of] phi beta kappa society",
" [doctoral advisor] alice g.... | [[["stanley ann dunham", "mother of", "barack obama"], ["barack obama", "spouse", "michelle obama"], ["michelle obama", "member of", "phi beta kappa society"]], [["stanley ann dunham", "studied at", "university of hawaii at manoa"], ["university of hawaii at manoa", "alumnus member", "alice g. dewey"], ["alice g. dewey... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003811 | 32.44 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:19:02.601446 |
What are different ways of connecting Gordian I, a Roman Emperor, and someone who is the father of Fabia Orestilla? | Gordian I | Marcus Annius Severus | father | Query: What are different ways of connecting Gordian I, a Roman Emperor, and someone who is the father of Fabia Orestilla?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chai... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>
{
"1": [
["Gordian I", "father of", "Gordian II"],
["Gordian II", "father of", "Gordian III"],
["Gordian III", "spouse", "Fabia Orestilla"],
["Fabia Orestilla", "father", "Marcus Annius Severus"]
],
"2": [
["Gordian I", "member of", "Roman Senate"],
["Marcus Annius Severus", "me... |
1. Enumerate facets for Gordian I:
- Professional role: Roman Emperor (occupation)
- Family: father of Gordian II, ancestor in the Gordian dynasty
- Geography: born in Phrygia (modern Turkey)
- Historical events: ruled during the Year of the Six Emperors (238 AD)
- Institutional: Emperor of the Roman Empire, associate... | [
"\n\n<answer>\n{\n \"1\": [\n [\"Gordian I\", \"father of\", \"Gordian II\"],\n [\"Gordian II\", \"father of\", \"Gordian III\"],\n [\"Gordian III\", \"spouse\", \"Fabia Orestilla\"],\n [\"Fabia Orestilla\", \"father\", \"Marcus Annius Severus\"]\n ],\n \"2\": [\n [\"Gordian I\", \"member of\", \"... | [
" [father of] gordian ii | gordian ii [father of] gordian iii | gordian iii [spouse] fabia orestilla | fabia orestilla [father] marcus annius severus",
" [member of] roman senate | marcus annius severus [member of] roman senate | marcus annius severus [father] fabia orestilla",
" [participant in] year of the si... | [[["gordian i", "father of", "gordian ii"], ["gordian ii", "father of", "gordian iii"], ["gordian iii", "spouse", "fabia orestilla"], ["fabia orestilla", "father", "marcus annius severus"]], [["gordian i", "member of", "roman senate"], ["marcus annius severus", "member of", "roman senate"], ["marcus annius severus", "f... | 12 | [
1,
1,
1,
0,
1,
1,
1,
1,
1,
1,
1,
0
] | 10 | 0.003224 | 25.23 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:19:27.833051 |
What are different ways of connecting Eleanor of England, a historical figure, and someone who held the position of Monarch of the Kingdom of Castile? | Eleanor of England | Monarch of the Kingdom of Castile | position held | Query: What are different ways of connecting Eleanor of England, a historical figure, and someone who held the position of Monarch of the Kingdom of Castile?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Eleanor of England", "spouse", "Alfonso VIII of Castile"],
["Alfonso VIII of Castile", "position held", "Monarch of the Kingdom of Castile"]
],
"2": [
["Eleanor of England", "mother of", "Blanche of Castile"],
["Blanche of Castile", "spouse", "Louis VIII of France"],
["Loui... |
1) Enumerate facets of Eleanor of England:
- Family/personal: daughter of King Henry II of England and Eleanor of Aquitaine; married to Alfonso VIII of Castile; mother of Blanche of Castile.
- Geographic/place-based: associated with England (birth), Castile (marriage).
- Historical events: Crusades era, Angevin period... | [
"\n<answer>{\n \"1\": [\n [\"Eleanor of England\", \"spouse\", \"Alfonso VIII of Castile\"],\n [\"Alfonso VIII of Castile\", \"position held\", \"Monarch of the Kingdom of Castile\"]\n ],\n \"2\": [\n [\"Eleanor of England\", \"mother of\", \"Blanche of Castile\"],\n [\"Blanche of Castile\", \"spouse... | [
" [spouse] alfonso viii of castile | alfonso viii of castile [position held] monarch of the kingdom of castile",
" [mother of] blanche of castile | blanche of castile [spouse] louis viii of france | louis viii of france [parent of] ferdinand iii of castile | ferdinand iii of castile [position held] monarch of the... | [[["eleanor of england", "spouse", "alfonso viii of castile"], ["alfonso viii of castile", "position held", "monarch of the kingdom of castile"]], [["eleanor of england", "mother of", "blanche of castile"], ["blanche of castile", "spouse", "louis viii of france"], ["louis viii of france", "parent of", "ferdinand iii of... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003047 | 23.52 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:19:51.358582 |
What are different ways of connecting Maria Piłsudska, and someone who was a citizen of the Russian Empire? | Maria Piłsudska | Russian Empire | country of citizenship | Query: What are different ways of connecting Maria Piłsudska, and someone who was a citizen of the Russian Empire?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that b... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Step 1: Enumerate facets for Maria Piłsudska:
1. Family/personal - spouse of Józef Piłsudski, mother-related connections
2. Geography - born place, locations lived in (Lithuania, former Russian Empire territories)
3. Historical context - involvement or connected to periods when Russian Empire was relevant
4. In... | [
"<think>\nStep 1: Enumerate facets for Maria Piłsudska:\n1. Family/personal - spouse of Józef Piłsudski, mother-related connections\n2. Geography - born place, locations lived in (Lithuania, former Russian Empire territories)\n3. Historical context - involvement or connected to periods when Russian Empire was relev... | [
" [spouse] józef piłsudski | józef piłsudski [birthplace] zalavas | zalavas [was part of] russian empire | maria piłsudska [country of citizenship] russian empire",
" [born in] vilnius | vilnius [was part of] russian empire | maria piłsudska [country of citizenship] russian empire",
" [maiden name] maria juszki... | [[["maria pi\u0142sudska", "spouse", "j\u00f3zef pi\u0142sudski"], ["j\u00f3zef pi\u0142sudski", "birthplace", "zalavas"], ["zalavas", "was part of", "russian empire"], ["maria pi\u0142sudska", "country of citizenship", "russian empire"]], [["maria pi\u0142sudska", "born in", "vilnius"], ["vilnius", "was part of", "rus... | 12 | [
1,
1,
0,
1,
1,
1,
0,
1,
1,
1,
1,
1
] | 10 | 0.002443 | 15.89 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:20:07.249504 | |
What are different ways of connecting Jeanne Maillot and someone who is a member of the Conférence Olivaint? | Jeanne Maillot | Conférence Olivaint | member of | Query: What are different ways of connecting Jeanne Maillot and someone who is a member of the Conférence Olivaint?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Jeanne Maillot", "member of", "French national ski team"],
["French national ski team coach", "member of", "Conférence Olivaint"]
],
"2": [
["Jeanne Maillot", "competed in", "1992 Winter Olympics"],
["1992 Winter Olympics official", "member of", "Conférence Olivaint"]
],
"3... |
Facet enumeration for Jeanne Maillot:
1. Professional/occupational: Jeanne Maillot is a French skier, Olympic athlete.
2. Awards/honors: Participation in the 1992 Winter Olympics (prestigious sports event).
3. Family/personal: May relate to French sports families or regional origins.
4. Institutional/organizat... | [
"\n<answer>{\n \"1\": [\n [\"Jeanne Maillot\", \"member of\", \"French national ski team\"],\n [\"French national ski team coach\", \"member of\", \"Conférence Olivaint\"]\n ],\n \"2\": [\n [\"Jeanne Maillot\", \"competed in\", \"1992 Winter Olympics\"],\n [\"1992 Winter Olympics official\", \"member... | [
" [member of] french national ski team | french national ski team coach [member of] conférence olivaint",
" [competed in] 1992 winter olympics | 1992 winter olympics official [member of] conférence olivaint",
" [born in] chambéry, france | politician born in chambéry [member of] conférence olivaint",
" [membe... | [[["jeanne maillot", "member of", "french national ski team"], ["french national ski team coach", "member of", "conf\u00e9rence olivaint"]], [["jeanne maillot", "competed in", "1992 winter olympics"], ["1992 winter olympics official", "member of", "conf\u00e9rence olivaint"]], [["jeanne maillot", "born in", "chamb\u00e... | 12 | [
0,
0,
0,
0,
0,
1,
0,
0,
1,
0,
1,
0
] | 3 | 0.002931 | 24.72 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:20:31.969333 |
What are different ways of connecting Sara Adriana Gleichman and someone who is the father of Berend George Escher? | Sara Adriana Gleichman | Berend George Escher | father | Query: What are different ways of connecting Sara Adriana Gleichman and someone who is the father of Berend George Escher?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chai... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Sara Adriana Gleichman", "spouse", "Peter Gluck"],
["Peter Gluck", "collaborated with", "Escher family foundation"],
["Escher family foundation", "created by descendant of", "George Arnold Escher"],
["George Arnold Escher", "father", "Berend George Escher"]
],
"2": [
["Sara... |
1. Enumerate 6-8 distinct facets of Sara Adriana Gleichman:
- Professional: Architect and artist (known as Sara Gleichman)
- Education: University of Pennsylvania (architecture school)
- Family: Married to an architect or art-related personality (possible familial connections)
- Geographic: Based in New Yo... | [
"\n<answer>{\n \"1\": [\n [\"Sara Adriana Gleichman\", \"spouse\", \"Peter Gluck\"],\n [\"Peter Gluck\", \"collaborated with\", \"Escher family foundation\"],\n [\"Escher family foundation\", \"created by descendant of\", \"George Arnold Escher\"],\n [\"George Arnold Escher\", \"father\", \"Berend Geor... | [
" [spouse] peter gluck | peter gluck [collaborated with] escher family foundation | escher family foundation [created by descendant of] george arnold escher | george arnold escher [father] berend george escher",
" [studied at] university of pennsylvania | university of pennsylvania [hosted exhibition of] m.c. esc... | [[["sara adriana gleichman", "spouse", "peter gluck"], ["peter gluck", "collaborated with", "escher family foundation"], ["escher family foundation", "created by descendant of", "george arnold escher"], ["george arnold escher", "father", "berend george escher"]], [["sara adriana gleichman", "studied at", "university of... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
0
] | 11 | 0.00409 | 35.1 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:21:07.072420 |
What are different ways of connecting Maria Elisabeth Lämmerhirt and someone who held the occupation of a court musician? | Maria Elisabeth Lämmerhirt | court musician | occupation | Query: What are different ways of connecting Maria Elisabeth Lämmerhirt and someone who held the occupation of a court musician?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuou... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} | <think>
Step 1: Enumerate facets of Maria Elisabeth Lämmerhirt:
- Family/personal: She is known as the mother of Johann Sebastian Bach, the famous composer.
- Geography: She was from Erfurt, Germany.
- Historical context: Lived in late 17th and early 18th century Germany.
- Indirect professional connections: Through fa... | [
"<think>\nStep 1: Enumerate facets of Maria Elisabeth Lämmerhirt:\n- Family/personal: She is known as the mother of Johann Sebastian Bach, the famous composer.\n- Geography: She was from Erfurt, Germany.\n- Historical context: Lived in late 17th and early 18th century Germany.\n- Indirect professional connections: ... | [
" [mother of] johann sebastian bach | johann sebastian bach [occupation] court musician",
" [spouse] johann ambrosius bach | johann ambrosius bach [occupation] court musician",
" [grandmother of] wilhelm friedemann bach | wilhelm friedemann bach [occupation] court musician",
" [mother of] johann christoph bac... | [[["maria elisabeth l\u00e4mmerhirt", "mother of", "johann sebastian bach"], ["johann sebastian bach", "occupation", "court musician"]], [["maria elisabeth l\u00e4mmerhirt", "spouse", "johann ambrosius bach"], ["johann ambrosius bach", "occupation", "court musician"]], [["maria elisabeth l\u00e4mmerhirt", "grandmother ... | 12 | [
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1
] | 12 | 0.003634 | 30.88 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:21:37.959154 | |
What are different ways of connecting Don Johnson, the American actor, and someone who received the National Society of Film Critics Award for Best Supporting Actress? | Don Johnson | National Society of Film Critics Award for Best Supporting Actress | award received | Query: What are different ways of connecting Don Johnson, the American actor, and someone who received the National Society of Film Critics Award for Best Supporting Actress?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples ... | gpt-4.1-mini-2025-04-14 | {"temperature": 1.0, "max_tokens": 16384} |
<answer>{
"1": [
["Don Johnson", "spouse", "Melanie Griffith"],
["Melanie Griffith", "acted with", "Anjelica Huston"],
["Anjelica Huston", "award received", "National Society of Film Critics Award for Best Supporting Actress"]
],
"2": [
["Don Johnson", "spouse", "Melanie Griffith"],
["Melanie... |
Step 1: Enumerate facets (properties, roles, domains) for Don Johnson:
1. Professional: American actor, starring in TV and film.
2. Awards: Has nominations but no major award for National Society of Film Critics Award for Best Supporting Actress (he is male, so this award would go to a female).
3. Family: Has children... | [
"\n<answer>{\n \"1\": [\n [\"Don Johnson\", \"spouse\", \"Melanie Griffith\"],\n [\"Melanie Griffith\", \"acted with\", \"Anjelica Huston\"],\n [\"Anjelica Huston\", \"award received\", \"National Society of Film Critics Award for Best Supporting Actress\"]\n ],\n \"2\": [\n [\"Don Johnson\", \"spous... | [
" [spouse] melanie griffith | melanie griffith [acted with] anjelica huston | anjelica huston [award received] national society of film critics award for best supporting actress",
" [spouse] melanie griffith | melanie griffith [acted with] kathy bates | kathy bates [award received] national society of film critic... | [[["don johnson", "spouse", "melanie griffith"], ["melanie griffith", "acted with", "anjelica huston"], ["anjelica huston", "award received", "national society of film critics award for best supporting actress"]], [["don johnson", "spouse", "melanie griffith"], ["melanie griffith", "acted with", "kathy bates"], ["kathy... | 12 | [
1,
1,
1,
1,
0,
1,
1,
1,
1,
1,
1,
1
] | 11 | 0.003507 | 27.6 | single_prompt_strategy_guided | strategy | strategy-scope/subset_create | 2026-04-07T12:22:05.561407 |
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