[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
The Ironton Railroad became part of which Class 1 Railroad Corporation?

[Assistant] {"sub_questions": ["What does 'Ironton Railroad' contribute to answering: The Ironton Railroad became part of which Class 1 Railroad Corporation?", "What does 'Conrail' contribute to answering: The Ironton Railroad became part of which Class 1 Railroad Corporation?"], "initial_queries": ["Ironton Railroad", "Conrail"]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Damn the Weather (cocktail)
A Damn the Weather (or Damn-the-Weather) is a Prohibition Era cocktail made with Gin, sweet vermouth, orange juice, and a sweetener (either Triple Sec or Curaçao).
 It is served shaken and chilled, often with a slice of orange.

## Sazerac
The Sazerac is a local New Orleans variation of a cognac or whiskey cocktail, named for the "Sazerac de Forge et Fils" brand of cognac brandy that served as its original main ingredient.
 The drink is most traditionally a combination of

[Assistant] {"entities": [{"name": "Damn the Weather (cocktail)", "entity_type": "Concept", "description": "Wikipedia article relevant to: Which drink, Damn the Weather or Sazerac, is considered a Prohibition Era cockta", "confidence": 0.9}, {"name": "Sazerac", "entity_type": "Concept", "description": "Wikipedia article relevant to: Which drink, Damn the Weather or Sazerac, is considered a Prohibition Era cockta", "confidence": 0.9}], "relations": [{"source_entity": "Damn the Weather (cocktail)", "relation_type": "RELATED_TO", "target_entity": "Which drink, Damn the Weather or Sazerac, is considered a Pr", "confidence": 0.95, "evidence": "A Damn the Weather (or Damn-the-Weather) is a Prohibition Era cocktail made with Gin, sweet vermouth, orange juice, and a sweetener (either Triple Sec or Curaçao)."}, {"source_entity": "Sazerac", "relation_type": "RELATED_TO", "target_entity": "Which drink, Damn the Weather or Sazerac, is considered a Pr", "confidence": 0.95, "evidence": "The Sazerac is a local New Orleans variation of a cognac or whiskey cocktail, named for the \"Sazerac de Forge et Fils\" brand of cognac brandy that served as its original main ingredient."}]}


[System]
You are an expert research analyst. Synthesize a grounded answer using ONLY the provided evidence. Cite verbatim quotes. Output valid JSON only.

Output schema:
{
  "answer": "string — comprehensive answer grounded in evidence",
  "citations": [{"claim": "string", "evidence": "verbatim quote", "source": "string"}]
}

[User]
Question: North Cumbria University Hospitals NHS Trust runs the hospital in what part of Cumbria?

Evidence:
- North Cumbria University Hospitals NHS Trust was created in April 2001 by merging Carlisle Hospitals NHS Trust and West Cumbria Healthcare NHS Trust.
- It runs Cumberland Infirmary in Carlisle, Cumbria, Penrith Hospital and West Cumberland Hospital in Whitehaven, England.
- Cumberland Infirmary is a hospital in Carlisle, Cumbria England.

[Assistant] {"answer": "Carlisle", "citations": [{"claim": "North Cumbria University Hospitals NHS Trust runs the hospit", "evidence": "North Cumbria University Hospitals NHS Trust was created in April 2001 by merging Carlisle Hospitals NHS Trust and West Cumbria Healthcare NHS Trust.", "source": "North Cumbria University Hospitals NHS Trust"}, {"claim": "North Cumbria University Hospitals NHS Trust runs the hospit", "evidence": "It runs Cumberland Infirmary in Carlisle, Cumbria, Penrith Hospital and West Cumberland Hospital in Whitehaven, England.", "source": "North Cumbria University Hospitals NHS Trust"}, {"claim": "North Cumbria University Hospitals NHS Trust runs the hospit", "evidence": "Cumberland Infirmary is a hospital in Carlisle, Cumbria England.", "source": "Cumberland Infirmary"}]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'I, Tonya'

Query history:
- I, Tonya

[Assistant] {"queries": ["I, Tonya"]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Museum David and Alice van Buuren' contribute to answering: What German word is used to describe the decorating style of the Museum David and Alice van Buuren?

Research context: Investigating 'What German word is used to describe the decorating style of the Museum David and Alice van Buuren?'

[Assistant] {"queries": ["Museum David and Alice van Buuren", "Museum David and Alice van Buuren What German word is used to describe the decorating style of"]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A:
Diane Edith Watson (born November 12, 1933) is a former US Representative for California 's 33 congressional district , serving from 2003 until 2011.

Passage B:
Diane Edith Watson (born November 12, 1938) is a former US Representative for California 's 33 congressional district , serving from 2003 until 2011.

[Assistant] {"contradictions": [{"claim_a": "Diane Edith Watson (born November 12, 1933) is a former US Representative for California 's 33 congressional district , serving from 2003 until 2011.", "claim_b": "Diane Edith Watson (born November 12, 1938) is a former US Representative for California 's 33 congressional district , serving from 2003 until 2011.", "evidence_a": "Diane Edith Watson (born November 12, 1933) is a former US Representative for California 's 33 congressional district , serving from 2003 until 2011.", "evidence_b": "Diane Edith Watson (born November 12, 1938) is a former US Representative for California 's 33 congressional district , serving from 2003 until 2011.", "resolution_strategy": "need_third_source"}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Cage9' contribute to answering: Are the bands Hole and Cage9 both American alternative rock bands?

Research context: Investigating 'Are the bands Hole and Cage9 both American alternative rock bands?'

[Assistant] {"queries": ["Cage9", "Cage9 Are the bands Hole and Cage9 both American alternative rock "]}


[System]
You are an expert research analyst. Synthesize a grounded answer using ONLY the provided evidence. Cite verbatim quotes. Output valid JSON only.

Output schema:
{
  "answer": "string — comprehensive answer grounded in evidence",
  "citations": [{"claim": "string", "evidence": "verbatim quote", "source": "string"}]
}

[User]
Question: Bad Biology is a dark horror comedy film directed and produced by Frank Henenlotter and a rapper who signed to what major label at the age of 18?

Evidence:
- Bad Biology is a dark horror comedy film directed and produced by Frank Henenlotter and rapper R.A. the Rugged Man.
- R.A. Thorburn, better known by his stage name R.A. the Rugged Man, is an American rapper.
- After a nine-label bidding war for his services, R.A. signed to major label Jive Records at age 18.

[Assistant] {"answer": "Jive Records", "citations": [{"claim": "Bad Biology is a dark horror comedy film directed and produc", "evidence": "Bad Biology is a dark horror comedy film directed and produced by Frank Henenlotter and rapper R.A. the Rugged Man.", "source": "Bad Biology"}, {"claim": "Bad Biology is a dark horror comedy film directed and produc", "evidence": "R.A. Thorburn, better known by his stage name R.A. the Rugged Man, is an American rapper.", "source": "R.A. the Rugged Man"}, {"claim": "Bad Biology is a dark horror comedy film directed and produc", "evidence": "After a nine-label bidding war for his services, R.A. signed to major label Jive Records at age 18.", "source": "R.A. the Rugged Man"}]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Sharmi Albrechtsen
Sharmi Albrechtsen is a Canadian born American-Indian journalist and author known for her blog Happy Danes on the official site, Blogging Denmark.
 She has written a book, A Piece of Danish Happiness, which explores why the Danish people are considered the happiest in the world, according to some sources, including the 2012 Gallup Poll taken by the United Nations.
 Albrechtsen attributes this happiness to the cultural Laws of Jante, a state of “Hygge” meaning being together comfortably, Denmark’s welfare system, and factors intrinsic to being happy.
 Her writing infuses her personal story, and in 2012, she told her story to Oprah Winfrey during a televised Lifeclass in Toronto.

## Law of Jante
The Law of Jante (Danish: "Janteloven" , ] ; Norwegian Bokmål: "Janteloven" , ] , Nynorsk: "Jantelova" ; Icelandic: "Jantelögin" ;,Faroese: "Jantelógin" Swedish: "Jantelagen" , ] ) is the description of a pattern of group behaviour towards individuals within Nordic countries that negatively portrays and criticises individual success and achievement as unworthy and inappropriate.
 The Jante Law as a concept was created by the Dano-Norwegian author Aksel Sandemose, who, in his novel "A Fugitive Crosses His Tracks" ("En flyktning krysser sitt spor", 1933, English translation published in the USA in 1936), identified the Law of Jante as ten rules.
 Sandemose's novel portrays the small Danish town Jante (modelled upon his native town Nykøbing Mors as it was at the beginning of the 20th century, but typical of all small towns and communities), where nobody is anonymous.

[Assistant] {"entities": [{"name": "Sharmi Albrechtsen", "entity_type": "Concept", "description": "Wikipedia article relevant to: What is this description of a pattern of group behaviour towards individuals wit", "confidence": 0.9}, {"name": "Law of Jante", "entity_type": "Concept", "description": "Wikipedia article relevant to: What is this description of a pattern of group behaviour towards individuals wit", "confidence": 0.9}], "relations": [{"source_entity": "Sharmi Albrechtsen", "relation_type": "RELATED_TO", "target_entity": "What is this description of a pattern of group behaviour tow", "confidence": 0.95, "evidence": "Albrechtsen attributes this happiness to the cultural Laws of Jante, a state of “Hygge” meaning being together comfortably, Denmark’s welfare system, and factors intrinsic to being happy."}, {"source_entity": "Law of Jante", "relation_type": "RELATED_TO", "target_entity": "What is this description of a pattern of group behaviour tow", "confidence": 0.95, "evidence": "The Law of Jante (Danish: \"Janteloven\" , ] ; Norwegian Bokmål: \"Janteloven\" , ] , Nynorsk: \"Jantelova\" ; Icelandic: \"Jantelögin\" ;,Faroese: \"Jantelógin\" Swedish: \"Jantelagen\" , ] ) is the description of a pattern of group behaviour towards individuals within Nordic countries that negatively portrays and criticises individual success and achievement as unworthy and inappropriate."}]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A:
The 2013 NBA Summer League is a pro basketball league run by the NBA just after the 2013 NBA draft.

Passage B:
The 2023 NBA Summer League is a pro basketball league run by the NBA just after the 2013 NBA draft.

[Assistant] {"contradictions": [{"claim_a": "The 2013 NBA Summer League is a pro basketball league run by the NBA just after the 2013 NBA draft.", "claim_b": "The 2023 NBA Summer League is a pro basketball league run by the NBA just after the 2013 NBA draft.", "evidence_a": "The 2013 NBA Summer League is a pro basketball league run by the NBA just after the 2013 NBA draft.", "evidence_b": "The 2023 NBA Summer League is a pro basketball league run by the NBA just after the 2013 NBA draft.", "resolution_strategy": "need_third_source"}]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does '2015–16 Los Angeles Lakers season' contribute to answering: What two-time NBA All-Star and 2004 member of Team USA left the Los Angeles Lakers after the worst season in franchise history in 2014-2015?
- What does 'Carlos Boozer' contribute to answering: What two-time NBA All-Star and 2004 member of Team USA left the Los Angeles Lakers after the worst season in franchise history in 2014-2015?

Entities:
Carlos Boozer

Relations:
2015–16 Los Angeles Lakers season -> RELATED_TO -> What two-time NBA All-Star and 2004 member of Team USA left ; 2015–16 Los Angeles Lakers season -> RELATED_TO -> What two-time NBA All-Star and 2004 member of Team USA left ; Carlos Boozer -> RELATED_TO -> What two-time NBA All-Star and 2004 member of Team USA left ; Carlos Boozer -> RELATED_TO -> What two-time NBA All-Star and 2004 member of Team USA left

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from '2015–16 Los Angeles Lakers season'", "suggested_queries": ["2015–16 Los Angeles Lakers season"]}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Talking Stick Resort Arena' contribute to answering: UFC Fight Night: Rodríguez vs. Penn was held at the arena in the downtown area of what city?

Research context: Investigating 'UFC Fight Night: Rodríguez vs. Penn was held at the arena in the downtown area of what city?'

[Assistant] {"queries": ["Talking Stick Resort Arena", "Talking Stick Resort Arena UFC Fight Night: Rodríguez vs. Penn was held at the arena in"]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
The person Canteen Boy has said in passing that he very much admires appeared on the covers of what magazines?

[Assistant] {"sub_questions": ["What does 'Canteen Boy' contribute to answering: The person Canteen Boy has said in passing that he very much admires appeared on the covers of what magazines?", "What does 'Cheryl Tiegs' contribute to answering: The person Canteen Boy has said in passing that he very much admires appeared on the covers of what magazines?"], "initial_queries": ["Canteen Boy", "Cheryl Tiegs"]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'Charlotte Perkins Gilman' contribute to answering: Are both Charlotte Perkins Gilman and Josephine Tey from the same country?
- What does 'Josephine Tey' contribute to answering: Are both Charlotte Perkins Gilman and Josephine Tey from the same country?

Entities:
Charlotte Perkins Gilman

Relations:
Charlotte Perkins Gilman -> RELATED_TO -> Are both Charlotte Perkins Gilman and Josephine Tey from the

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'Josephine Tey'", "suggested_queries": ["Josephine Tey"]}]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A:
The 2nd Lumières Awards ceremony, presented by the Académie des Lumières, was held on 13 February 1997.

Passage B:
The 2nd Lumières Awards ceremony, presented by the Académie des Lumières, was held on 13 February 2007.

[Assistant] {"contradictions": [{"claim_a": "The 2nd Lumières Awards ceremony, presented by the Académie des Lumières, was held on 13 February 1997.", "claim_b": "The 2nd Lumières Awards ceremony, presented by the Académie des Lumières, was held on 13 February 2007.", "evidence_a": "The 2nd Lumières Awards ceremony, presented by the Académie des Lumières, was held on 13 February 1997.", "evidence_b": "The 2nd Lumières Awards ceremony, presented by the Académie des Lumières, was held on 13 February 2007.", "resolution_strategy": "need_third_source"}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Rothschild family' contribute to answering: The family that had the most impact to the Rothschild properties in the Home counties were descendants of whom?

Research context: Investigating 'The family that had the most impact to the Rothschild properties in the Home counties were descendants of whom?'

[Assistant] {"queries": ["Rothschild family", "Rothschild family The family that had the most impact to the Rothschild proper"]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
Which building has been the home to the most religious organizations, Gül Mosque or Hagia Irene?

[Assistant] {"sub_questions": ["What does 'Gül Mosque' contribute to answering: Which building has been the home to the most religious organizations, Gül Mosque or Hagia Irene?", "What does 'Hagia Irene' contribute to answering: Which building has been the home to the most religious organizations, Gül Mosque or Hagia Irene?"], "initial_queries": ["Gül Mosque", "Hagia Irene"]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
 Hwang Jung-min starred in a film directed by who?

[Assistant] {"sub_questions": ["What does 'Hwang Jung-min' contribute to answering:  Hwang Jung-min starred in a film directed by who?", "What does 'The Himalayas (film)' contribute to answering:  Hwang Jung-min starred in a film directed by who?"], "initial_queries": ["Hwang Jung-min", "The Himalayas (film)"]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Charles II of England'

Query history:
- Frenchman's Creek (novel)

[Assistant] {"queries": ["Charles II of England"]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Bratwurst'

Query history:
- Currywurst

[Assistant] {"queries": ["Bratwurst"]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Little Bollington
Little Bollington is a village and civil parish in Cheshire, England.
 The Bridgewater Canal runs through the western side and Dunham Park lies to the north east.

## Bridgewater Canal
The Bridgewater Canal connects Runcorn, Manchester and Leigh, in North West England.
 It was commissioned by Francis Egerton, 3rd Duke of Bridgewater, to transport coal from his mines in Worsley to Manchester.
 It was opened in 1761 from Worsley to Manchester, and later extended from Manchester to Runcorn, and then from Worsley to Leigh.

[Assistant] {"entities": [{"name": "Little Bollington", "entity_type": "Concept", "description": "Wikipedia article relevant to: What year saw the opening of the canal that runs thorough the western side of Li", "confidence": 0.9}, {"name": "Bridgewater Canal", "entity_type": "Concept", "description": "Wikipedia article relevant to: What year saw the opening of the canal that runs thorough the western side of Li", "confidence": 0.9}], "relations": [{"source_entity": "Little Bollington", "relation_type": "RELATED_TO", "target_entity": "What year saw the opening of the canal that runs thorough th", "confidence": 0.95, "evidence": "The Bridgewater Canal runs through the western side and Dunham Park lies to the north east."}, {"source_entity": "Bridgewater Canal", "relation_type": "RELATED_TO", "target_entity": "What year saw the opening of the canal that runs thorough th", "confidence": 0.95, "evidence": "It was opened in 1761 from Worsley to Manchester, and later extended from Manchester to Runcorn, and then from Worsley to Leigh."}]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'The Well-Tempered Synthesizer' contribute to answering: What electronic musician released the album The Well-Tempered Synthesizer in 1969?
- What does 'Wendy Carlos' contribute to answering: What electronic musician released the album The Well-Tempered Synthesizer in 1969?

Entities:
The Well-Tempered Synthesizer

Relations:
The Well-Tempered Synthesizer -> RELATED_TO -> What electronic musician released the album The Well-Tempere

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'Wendy Carlos'", "suggested_queries": ["Wendy Carlos"]}]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Theo Bell
Theopolis Bell, Jr. (December 21, 1953 – June 21, 2006) was an American football wide receiver who played nine seasons in the National Football League for the Pittsburgh Steelers and the Tampa Bay Buccaneers.

## Pittsburgh Steelers
The Pittsburgh Steelers are a professional American football team based in Pittsburgh, Pennsylvania.
 The Steelers compete in the National Football League (NFL), as a member club of the league's American Football Conference (AFC) North division.
 Founded in 1933 , the Steelers are the oldest franchise in the AFC.

[Assistant] {"entities": [{"name": "Theo Bell", "entity_type": "Concept", "description": "Wikipedia article relevant to: What was the birth date of a wide receiver who played for the 1933-founded footb", "confidence": 0.9}, {"name": "Pittsburgh Steelers", "entity_type": "Concept", "description": "Wikipedia article relevant to: What was the birth date of a wide receiver who played for the 1933-founded footb", "confidence": 0.9}], "relations": [{"source_entity": "Theo Bell", "relation_type": "RELATED_TO", "target_entity": "What was the birth date of a wide receiver who played for th", "confidence": 0.95, "evidence": "Theopolis Bell, Jr. (December 21, 1953 – June 21, 2006) was an American football wide receiver who played nine seasons in the National Football League for the Pittsburgh Steelers and the Tampa Bay Buccaneers."}, {"source_entity": "Pittsburgh Steelers", "relation_type": "RELATED_TO", "target_entity": "What was the birth date of a wide receiver who played for th", "confidence": 0.95, "evidence": "The Pittsburgh Steelers are a professional American football team based in Pittsburgh, Pennsylvania."}, {"source_entity": "Pittsburgh Steelers", "relation_type": "RELATED_TO", "target_entity": "What was the birth date of a wide receiver who played for th", "confidence": 0.95, "evidence": "Founded in 1933 , the Steelers are the oldest franchise in the AFC."}]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Bull Terrier (Miniature)
The Bull Terrier (Miniature) is a breed with origins in the extinct English White Terrier, the Dalmatian and the Bulldog.
 The first existence is documented 1872 in "The Dogs of British Island".

## Coton de Tulear
The Coton de Tuléar is a breed of small dog named for the city of Tuléar in Madagascar and for its cotton-like coat.

[Assistant] {"entities": [{"name": "Bull Terrier (Miniature)", "entity_type": "Concept", "description": "Wikipedia article relevant to: Bull Terrier and Coton de Tulear, breeds of what?", "confidence": 0.9}, {"name": "Coton de Tulear", "entity_type": "Concept", "description": "Wikipedia article relevant to: Bull Terrier and Coton de Tulear, breeds of what?", "confidence": 0.9}], "relations": [{"source_entity": "Bull Terrier (Miniature)", "relation_type": "RELATED_TO", "target_entity": "Bull Terrier and Coton de Tulear, breeds of what?", "confidence": 0.95, "evidence": "The Bull Terrier (Miniature) is a breed with origins in the extinct English White Terrier, the Dalmatian and the Bulldog."}, {"source_entity": "Coton de Tulear", "relation_type": "RELATED_TO", "target_entity": "Bull Terrier and Coton de Tulear, breeds of what?", "confidence": 0.95, "evidence": "The Coton de Tuléar is a breed of small dog named for the city of Tuléar in Madagascar and for its cotton-like coat."}]}


[System]
You are an expert research analyst. Synthesize a grounded answer using ONLY the provided evidence. Cite verbatim quotes. Output valid JSON only.

Output schema:
{
  "answer": "string — comprehensive answer grounded in evidence",
  "citations": [{"claim": "string", "evidence": "verbatim quote", "source": "string"}]
}

[User]
Question: what does Mike Score and Micky Dolenz have in common?

Evidence:
- Michael Gordon "Mike" Score (born 5 November 1957) is an English musician.
- George Michael Dolenz, Jr. (born March 8, 1945) is an American actor, musician, television director, radio personality and theater director, best known as a vocalist and drummer of the 1960s pop/rock band the Monkees.

[Assistant] {"answer": "musician", "citations": [{"claim": "what does Mike Score and Micky Dolenz have in common?", "evidence": "Michael Gordon \"Mike\" Score (born 5 November 1957) is an English musician.", "source": "Mike Score"}, {"claim": "what does Mike Score and Micky Dolenz have in common?", "evidence": "George Michael Dolenz, Jr. (born March 8, 1945) is an American actor, musician, television director, radio personality and theater director, best known as a vocalist and drummer of the 1960s pop/rock band the Monkees.", "source": "Micky Dolenz"}]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
What slogan does this Swiss watchmaker and his company carry, who purchased 80% of the Minsk Watch Plant in 2010?

[Assistant] {"sub_questions": ["What does 'Luch (watch)' contribute to answering: What slogan does this Swiss watchmaker and his company carry, who purchased 80% of the Minsk Watch Plant in 2010?", "What does 'Franck Muller' contribute to answering: What slogan does this Swiss watchmaker and his company carry, who purchased 80% of the Minsk Watch Plant in 2010?"], "initial_queries": ["Luch (watch)", "Franck Muller"]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Count Zero
Count Zero is a science fiction novel by American-Canadian writer William Gibson, originally published in 1986.
 It is the second volume of the Sprawl trilogy, which begins with "Neuromancer" and concludes with "Mona Lisa Overdrive", and is an example of the cyberpunk subgenre.

## Neuromancer
Neuromancer is a 1984 science fiction novel by American-Canadian writer William Gibson.
 It is one of the best-known works in the cyberpunk genre and the first novel to win the Nebula Award, the Philip K. Dick Award, and the Hugo Award.
 It was Gibson's debut novel and the beginning of the Sprawl trilogy.
 The novel tells the story of a washed-up computer hacker hired by a mysterious employer to pull off the ultimate hack.

[Assistant] {"entities": [{"name": "Count Zero", "entity_type": "Concept", "description": "Wikipedia article relevant to: What awards did the novel which precedes Count Zero win?", "confidence": 0.9}, {"name": "Neuromancer", "entity_type": "Concept", "description": "Wikipedia article relevant to: What awards did the novel which precedes Count Zero win?", "confidence": 0.9}], "relations": [{"source_entity": "Count Zero", "relation_type": "RELATED_TO", "target_entity": "What awards did the novel which precedes Count Zero win?", "confidence": 0.95, "evidence": "It is the second volume of the Sprawl trilogy, which begins with \"Neuromancer\" and concludes with \"Mona Lisa Overdrive\", and is an example of the cyberpunk subgenre."}, {"source_entity": "Neuromancer", "relation_type": "RELATED_TO", "target_entity": "What awards did the novel which precedes Count Zero win?", "confidence": 0.95, "evidence": "It is one of the best-known works in the cyberpunk genre and the first novel to win the Nebula Award, the Philip K. Dick Award, and the Hugo Award."}]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Hanford Site'

Query history:
- Vernita Bridge

[Assistant] {"queries": ["Hanford Site"]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'Centranthus' contribute to answering: What leaves are often referred to as cilantro in North America, Centranthus or Coriandrum ?
- What does 'Coriandrum' contribute to answering: What leaves are often referred to as cilantro in North America, Centranthus or Coriandrum ?

Entities:
Centranthus

Relations:
Centranthus -> RELATED_TO -> What leaves are often referred to as cilantro in North Ameri; Coriandrum -> RELATED_TO -> What leaves are often referred to as cilantro in North Ameri; Coriandrum -> RELATED_TO -> What leaves are often referred to as cilantro in North Ameri

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'Coriandrum'", "suggested_queries": ["Coriandrum"]}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Tell Me You Love Me (album)' contribute to answering: Tell Me You Love Me Deluxe Version features an acoustic version of this song

Research context: Investigating 'Tell Me You Love Me Deluxe Version features an acoustic version of this song'

[Assistant] {"queries": ["Tell Me You Love Me (album)", "Tell Me You Love Me (album) Tell Me You Love Me Deluxe Version features an acoustic vers"]}


[System]
You are an expert research analyst. Synthesize a grounded answer using ONLY the provided evidence. Cite verbatim quotes. Output valid JSON only.

Output schema:
{
  "answer": "string — comprehensive answer grounded in evidence",
  "citations": [{"claim": "string", "evidence": "verbatim quote", "source": "string"}]
}

[User]
Question: What American actor know for his striking resemblance to silent film hero Rudolph Valentino played American Old WEst gunfighter Billy the Kid?

Evidence:
- Anthony John "Tony" Dexter (January 19, 1913 – March 27, 2001) was an American actor known for his striking resemblance to silent film hero Rudolph Valentino, whom he portrayed in the 1951 biographic "Valentino".
- Billy the Kid (born Henry McCarty, and also known as WilliamH.Bonney; 1859July 14, 1881) was an American Old West gunfighter who participated in the New Mexico Territory's Lincoln County War of 1878.

[Assistant] {"answer": "Anthony John \"Tony\" Dexter", "citations": [{"claim": "What American actor know for his striking resemblance to sil", "evidence": "Anthony John \"Tony\" Dexter (January 19, 1913 – March 27, 2001) was an American actor known for his striking resemblance to silent film hero Rudolph Valentino, whom he portrayed in the 1951 biographic \"Valentino\".", "source": "Anthony Dexter"}, {"claim": "What American actor know for his striking resemblance to sil", "evidence": "Billy the Kid (born Henry McCarty, and also known as WilliamH.Bonney; 1859July 14, 1881) was an American Old West gunfighter who participated in the New Mexico Territory's Lincoln County War of 1878.", "source": "Billy the Kid"}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Supercharger' contribute to answering: What mechanism is used to power the Supercharger in Top Alcohol drar racing vehicles?

Research context: Investigating 'What mechanism is used to power the Supercharger in Top Alcohol drar racing vehicles?'

[Assistant] {"queries": ["Supercharger", "Supercharger What mechanism is used to power the Supercharger in Top Alco"]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
When was the arena, which hosted the 2002 America East Men's Basketball Tournament, built?

[Assistant] {"sub_questions": ["What does '2002 America East Men's Basketball Tournament' contribute to answering: When was the arena, which hosted the 2002 America East Men's Basketball Tournament, built?", "What does 'Matthews Arena' contribute to answering: When was the arena, which hosted the 2002 America East Men's Basketball Tournament, built?"], "initial_queries": ["2002 America East Men's Basketball Tournament", "Matthews Arena"]}


[System]
You are an expert research analyst. Synthesize a grounded answer using ONLY the provided evidence. Cite verbatim quotes. Output valid JSON only.

Output schema:
{
  "answer": "string — comprehensive answer grounded in evidence",
  "citations": [{"claim": "string", "evidence": "verbatim quote", "source": "string"}]
}

[User]
Question: Henry P. Becton Regional High School, is an American four-year comprehensive public high school serving students in ninth through twelfth grades from both Carlstadt and East Rutherford, the school was named in honor of Henry P. Becton, son of who, co-founder Maxwell Becton?

Evidence:
- The school was named in honor of Henry P. Becton, son of Becton Dickinson co-founder Maxwell Becton, who donated part of the company's original East Rutherford property to be used as a site for the construction of the school.
- Becton, Dickinson and Company (BD) is an American medical technology company that manufactures and sells medical devices, instrument systems, and reagents.

[Assistant] {"answer": "Becton Dickinson", "citations": [{"claim": "Henry P. Becton Regional High School, is an American four-ye", "evidence": "The school was named in honor of Henry P. Becton, son of Becton Dickinson co-founder Maxwell Becton, who donated part of the company's original East Rutherford property to be used as a site for the construction of the school.", "source": "Henry P. Becton Regional High School"}, {"claim": "Henry P. Becton Regional High School, is an American four-ye", "evidence": "Becton, Dickinson and Company (BD) is an American medical technology company that manufactures and sells medical devices, instrument systems, and reagents.", "source": "Becton Dickinson"}]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Mount Hood'

Query history:
- Mirror Lake (Clackamas County, Oregon)

[Assistant] {"queries": ["Mount Hood"]}


[System]
You are an expert research analyst. Synthesize a grounded answer using ONLY the provided evidence. Cite verbatim quotes. Output valid JSON only.

Output schema:
{
  "answer": "string — comprehensive answer grounded in evidence",
  "citations": [{"claim": "string", "evidence": "verbatim quote", "source": "string"}]
}

[User]
Question: Adam Brooks is best known for writing and directing a 2008 romantic comedy-drama film that starred Ryan Reynolds, and was set where?

Evidence:
- He is best known for writing and directing "Definitely, Maybe" (2008) and for writing screenplays for "French Kiss" (1995), "Wimbledon" (2004), and "" (2004).
- Definitely, Maybe is a 2008 romantic comedy-drama film written and directed by Adam Brooks, and starring Ryan Reynolds, Isla Fisher, Rachel Weisz, Elizabeth Banks, Abigail Breslin, and Kevin Kline.
- Set in New York City during the 1990s, the film is about a political consultant who tries to help his eleven-year-old daughter understand his impending divorce by telling her the story of his past romantic relationships and how he ended up marrying her mother.

[Assistant] {"answer": "New York City", "citations": [{"claim": "Adam Brooks is best known for writing and directing a 2008 r", "evidence": "He is best known for writing and directing \"Definitely, Maybe\" (2008) and for writing screenplays for \"French Kiss\" (1995), \"Wimbledon\" (2004), and \"\" (2004).", "source": "Adam Brooks (filmmaker)"}, {"claim": "Adam Brooks is best known for writing and directing a 2008 r", "evidence": "Definitely, Maybe is a 2008 romantic comedy-drama film written and directed by Adam Brooks, and starring Ryan Reynolds, Isla Fisher, Rachel Weisz, Elizabeth Banks, Abigail Breslin, and Kevin Kline.", "source": "Definitely, Maybe"}, {"claim": "Adam Brooks is best known for writing and directing a 2008 r", "evidence": "Set in New York City during the 1990s, the film is about a political consultant who tries to help his eleven-year-old daughter understand his impending divorce by telling her the story of his past romantic relationships and how he ended up marrying her mother.", "source": "Definitely, Maybe"}]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
What is the party game that features as the hosts the American animated television series created by Peter Hannan for Nickelodeon?

[Assistant] {"sub_questions": ["What does 'Nickelodeon Party Blast' contribute to answering: What is the party game that features as the hosts the American animated television series created by Peter Hannan for Nickelodeon?", "What does 'CatDog' contribute to answering: What is the party game that features as the hosts the American animated television series created by Peter Hannan for Nickelodeon?"], "initial_queries": ["Nickelodeon Party Blast", "CatDog"]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'Curious George (film)' contribute to answering: Curious George is an animated adventure comedy film starring an American actor who established himself in the mid-1990's as a cast member on what sketch comedy show?
- What does 'Will Ferrell' contribute to answering: Curious George is an animated adventure comedy film starring an American actor who established himself in the mid-1990's as a cast member on what sketch comedy show?

Entities:
Curious George (film)

Relations:
Curious George (film) -> RELATED_TO -> Curious George is an animated adventure comedy film starring; Curious George (film) -> RELATED_TO -> Curious George is an animated adventure comedy film starring; Will Ferrell -> RELATED_TO -> Curious George is an animated adventure comedy film starring

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'Will Ferrell'", "suggested_queries": ["Will Ferrell"]}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Madonna (entertainer)' contribute to answering: Madonna and William Friedkin, are of which nationality?

Research context: Investigating 'Madonna and William Friedkin, are of which nationality?'

[Assistant] {"queries": ["Madonna (entertainer)", "Madonna (entertainer) Madonna and William Friedkin, are of which nationality?"]}


[System]
You are an expert research analyst. Synthesize a grounded answer using ONLY the provided evidence. Cite verbatim quotes. Output valid JSON only.

Output schema:
{
  "answer": "string — comprehensive answer grounded in evidence",
  "citations": [{"claim": "string", "evidence": "verbatim quote", "source": "string"}]
}

[User]
Question: What is XY and Tikkun?

Evidence:
- XY is a gay men's magazine, relaunched in 2016, which has been published in the United States since 1996.
- Tikkun is a quarterly interfaith Jewish left-progressive magazine, published in the United States, that analyzes American and Israeli culture, politics, religion, and history in the English language.

[Assistant] {"answer": "XY is a gay men's magazine", "citations": [{"claim": "What is XY and Tikkun?", "evidence": "XY is a gay men's magazine, relaunched in 2016, which has been published in the United States since 1996.", "source": "XY (magazine)"}, {"claim": "What is XY and Tikkun?", "evidence": "Tikkun is a quarterly interfaith Jewish left-progressive magazine, published in the United States, that analyzes American and Israeli culture, politics, religion, and history in the English language.", "source": "Tikkun (magazine)"}]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A:
The Cactus Club was a nightclub in the South of First Area (SoFA) of Downtown San Jose, California.

Passage B:
The Cactus Club was a nightclub in the South of Last Area (SoFA) of Downtown San Jose, California.

[Assistant] {"contradictions": [{"claim_a": "The Cactus Club was a nightclub in the South of First Area (SoFA) of Downtown San Jose, California.", "claim_b": "The Cactus Club was a nightclub in the South of Last Area (SoFA) of Downtown San Jose, California.", "evidence_a": "The Cactus Club was a nightclub in the South of First Area (SoFA) of Downtown San Jose, California.", "evidence_b": "The Cactus Club was a nightclub in the South of Last Area (SoFA) of Downtown San Jose, California.", "resolution_strategy": "need_third_source"}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Are You Right There Father Ted?' contribute to answering: What was the nationality of the comedian who died the day after the final filming of a show featuring "Father Ted?"

Research context: Investigating 'What was the nationality of the comedian who died the day after the final filming of a show featuring "Father Ted?"'

[Assistant] {"queries": ["Are You Right There Father Ted?", "Are You Right There Father Ted? What was the nationality of the comedian who died the day af"]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Dusty Ellis'

Query history:
- Dusty Ellis

[Assistant] {"queries": ["Dusty Ellis"]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Razorlight
Razorlight is an English indie rock band formed in 2002 by lead singer and rhythm guitarist Johnny Borrell.
 The band are primarily known in the UK, having topped the charts with the 2006 single "America" and its parent self-titled album, their second.
 Along with Borrell, the current lineup of the band consists of drummer David Sullivan Kaplan, lead guitarist Gus Robertson, and bassist João Mello.

## +44 (band)
+44 (read as Plus Forty-four) was an American rock supergroup formed in Los Angeles, California in 2005.
 The group consisted of vocalist and bassist Mark Hoppus and drummer Travis Barker of Blink-182, lead guitarist Shane Gallagher of The Nervous Return and rhythm guitarist Craig Fairbaugh of Mercy Killers.
 Hoppus and Barker created +44 shortly after the initial 2005 breakup of Blink-182, before they were later reformed, and the band's name refers to the international dialing code of the United Kingdom, the country where the duo first discussed the project.
 Early recordings were largely electronic in nature, and featured vocals by Carol Heller, formerly of the all-girl punk quartet Get the Girl.

[Assistant] {"entities": [{"name": "Razorlight", "entity_type": "Concept", "description": "Wikipedia article relevant to: Which band has more members, Razorlight, or +44?", "confidence": 0.9}, {"name": "+44 (band)", "entity_type": "Concept", "description": "Wikipedia article relevant to: Which band has more members, Razorlight, or +44?", "confidence": 0.9}], "relations": [{"source_entity": "Razorlight", "relation_type": "RELATED_TO", "target_entity": "Which band has more members, Razorlight, or +44?", "confidence": 0.95, "evidence": "Razorlight is an English indie rock band formed in 2002 by lead singer and rhythm guitarist Johnny Borrell."}, {"source_entity": "Razorlight", "relation_type": "RELATED_TO", "target_entity": "Which band has more members, Razorlight, or +44?", "confidence": 0.95, "evidence": "The band are primarily known in the UK, having topped the charts with the 2006 single \"America\" and its parent self-titled album, their second."}, {"source_entity": "Razorlight", "relation_type": "RELATED_TO", "target_entity": "Which band has more members, Razorlight, or +44?", "confidence": 0.95, "evidence": "Along with Borrell, the current lineup of the band consists of drummer David Sullivan Kaplan, lead guitarist Gus Robertson, and bassist João Mello."}, {"source_entity": "+44 (band)", "relation_type": "RELATED_TO", "target_entity": "Which band has more members, Razorlight, or +44?", "confidence": 0.95, "evidence": "+44 (read as Plus Forty-four) was an American rock supergroup formed in Los Angeles, California in 2005."}, {"source_entity": "+44 (band)", "relation_type": "RELATED_TO", "target_entity": "Which band has more members, Razorlight, or +44?", "confidence": 0.95, "evidence": "The group consisted of vocalist and bassist Mark Hoppus and drummer Travis Barker of Blink-182, lead guitarist Shane Gallagher of The Nervous Return and rhythm guitarist Craig Fairbaugh of Mercy Killers."}, {"source_entity": "+44 (band)", "relation_type": "RELATED_TO", "target_entity": "Which band has more members, Razorlight, or +44?", "confidence": 0.95, "evidence": "Hoppus and Barker created +44 shortly after the initial 2005 breakup of Blink-182, before they were later reformed, and the band's name refers to the international dialing code of the United Kingdom, the country where the duo first discussed the project."}]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Yahya Abdul-Mateen II
Yahya Abdul-Mateen II is an American actor, best known for his role Cadillac in the television series "The Get Down".
 He also starred in "Baywatch" (2017), and will appear in "The Greatest Showman" and DC's "Aquaman".

## Baywatch (film)
Baywatch is a 2017 American action comedy film directed by Seth Gordon and based on the television series of the same name.
 Written by Mark Swift and Damian Shannon, the film stars Dwayne Johnson, Zac Efron, Priyanka Chopra, Alexandra Daddario, Kelly Rohrbach and Jon Bass.
 The plot follows lifeguard Mitch Buchannon and his team, who in an effort to save their beach have to take down a druglord.

[Assistant] {"entities": [{"name": "Yahya Abdul-Mateen II", "entity_type": "Concept", "description": "Wikipedia article relevant to: Yahya Abdul-Mateen II's 2017 starring movie role was directed by this individual", "confidence": 0.9}, {"name": "Baywatch (film)", "entity_type": "Concept", "description": "Wikipedia article relevant to: Yahya Abdul-Mateen II's 2017 starring movie role was directed by this individual", "confidence": 0.9}], "relations": [{"source_entity": "Yahya Abdul-Mateen II", "relation_type": "RELATED_TO", "target_entity": "Yahya Abdul-Mateen II's 2017 starring movie role was directe", "confidence": 0.95, "evidence": "He also starred in \"Baywatch\" (2017), and will appear in \"The Greatest Showman\" and DC's \"Aquaman\"."}, {"source_entity": "Baywatch (film)", "relation_type": "RELATED_TO", "target_entity": "Yahya Abdul-Mateen II's 2017 starring movie role was directe", "confidence": 0.95, "evidence": "Baywatch is a 2017 American action comedy film directed by Seth Gordon and based on the television series of the same name."}]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
Bullseye is a character who has a vendetta against the superhero appearing in comics by which company?

[Assistant] {"sub_questions": ["What does 'Bullseye (comics)' contribute to answering: Bullseye is a character who has a vendetta against the superhero appearing in comics by which company?", "What does 'Daredevil (Marvel Comics character)' contribute to answering: Bullseye is a character who has a vendetta against the superhero appearing in comics by which company?"], "initial_queries": ["Bullseye (comics)", "Daredevil (Marvel Comics character)"]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Timex Sinclair'

Query history:
- MicroBee

[Assistant] {"queries": ["Timex Sinclair"]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'Air Jordan Retro XII' contribute to answering: Air Jordan Retro XII has a logo that is a silhouette of which person?
- What does 'Jumpman (logo)' contribute to answering: Air Jordan Retro XII has a logo that is a silhouette of which person?

Entities:
Air Jordan Retro XII

Relations:
Air Jordan Retro XII -> RELATED_TO -> Air Jordan Retro XII has a logo that is a silhouette of whic; Jumpman (logo) -> RELATED_TO -> Air Jordan Retro XII has a logo that is a silhouette of whic

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'Jumpman (logo)'", "suggested_queries": ["Jumpman (logo)"]}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Fort Stewart' contribute to answering: Old Fort Argyle is located in a census-designated place that had how many inhabitants in 2000 ?

Research context: Investigating 'Old Fort Argyle is located in a census-designated place that had how many inhabitants in 2000 ?'

[Assistant] {"queries": ["Fort Stewart", "Fort Stewart Old Fort Argyle is located in a census-designated place that"]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Eriophorum'

Query history:
- Eriophorum

[Assistant] {"queries": ["Eriophorum"]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Valentín Elizalde'

Query history:
- Vencedor

[Assistant] {"queries": ["Valentín Elizalde"]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does '13th AVN Awards' contribute to answering: Which former pornographic film actress hosted the 1996 Adult Video News awards?
- What does 'Jenna Jameson' contribute to answering: Which former pornographic film actress hosted the 1996 Adult Video News awards?

Entities:
Jenna Jameson

Relations:
13th AVN Awards -> RELATED_TO -> Which former pornographic film actress hosted the 1996 Adult; Jenna Jameson -> RELATED_TO -> Which former pornographic film actress hosted the 1996 Adult

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from '13th AVN Awards'", "suggested_queries": ["13th AVN Awards"]}]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Oprah Winfrey'

Query history:
- Greenleaf (TV series)

[Assistant] {"queries": ["Oprah Winfrey"]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A:
Lee Ji-eun (Korean: 이지은 ; born May 16, 1993), better known by her stage name IU (Korean: 아이유 ), is a South Korean singer, songwriter and actress.

Passage B:
Lee Ji-eun (Korean: 이지은 ; born May 16, 2003), better known by her stage name IU (Korean: 아이유 ), is a South Korean singer, songwriter and actress.

[Assistant] {"contradictions": [{"claim_a": "Lee Ji-eun (Korean: 이지은 ; born May 16, 1993), better known by her stage name IU (Korean: 아이유 ), is a South Korean singer, songwriter and actress.", "claim_b": "Lee Ji-eun (Korean: 이지은 ; born May 16, 2003), better known by her stage name IU (Korean: 아이유 ), is a South Korean singer, songwriter and actress.", "evidence_a": "Lee Ji-eun (Korean: 이지은 ; born May 16, 1993), better known by her stage name IU (Korean: 아이유 ), is a South Korean singer, songwriter and actress.", "evidence_b": "Lee Ji-eun (Korean: 이지은 ; born May 16, 2003), better known by her stage name IU (Korean: 아이유 ), is a South Korean singer, songwriter and actress.", "resolution_strategy": "need_third_source"}]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
Is Apsarasas Kangri taller than Gangkhar Puensum?

[Assistant] {"sub_questions": ["What does 'Gangkhar Puensum' contribute to answering: Is Apsarasas Kangri taller than Gangkhar Puensum?", "What does 'Apsarasas Kangri' contribute to answering: Is Apsarasas Kangri taller than Gangkhar Puensum?"], "initial_queries": ["Gangkhar Puensum", "Apsarasas Kangri"]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'The Last of Us (2016 film)' contribute to answering: At which theater did this Academy Awards ceremony take place where the film "The Last of Us" was selected as the Tunisian entry for the Best Foreign Language Film?

Research context: Investigating 'At which theater did this Academy Awards ceremony take place where the film "The Last of Us" was selected as the Tunisian entry for the Best Foreign Language Film?'

[Assistant] {"queries": ["The Last of Us (2016 film)", "The Last of Us (2016 film) At which theater did this Academy Awards ceremony take place"]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Jim Sturgess' contribute to answering: What nationality was the actor in a crime thriller that premiered in September 2008?

Research context: Investigating 'What nationality was the actor in a crime thriller that premiered in September 2008?'

[Assistant] {"queries": ["Jim Sturgess", "Jim Sturgess What nationality was the actor in a crime thriller that prem"]}


[System]
You are an expert research analyst. Synthesize a grounded answer using ONLY the provided evidence. Cite verbatim quotes. Output valid JSON only.

Output schema:
{
  "answer": "string — comprehensive answer grounded in evidence",
  "citations": [{"claim": "string", "evidence": "verbatim quote", "source": "string"}]
}

[User]
Question: What Canadian actor born in 2002 stars on Stranger Things?

Evidence:
- Stranger Things is an American science fiction-horror web television series created, written, directed and co-executive produced by the Duffer Brothers, as well as co-executive-produced by Shawn Levy and Dan Cohen.
- The first season stars Winona Ryder, David Harbour, Finn Wolfhard, Millie Bobby Brown, Gaten Matarazzo, Caleb McLaughlin, Natalia Dyer, Charlie Heaton, Cara Buono, and Matthew Modine, with Noah Schnapp and Joe Keery in recurring roles.
- Finn Wolfhard (born 23 December 2002) is a Canadian actor and voice actor.
- He is best known for his starring roles as Mike Wheeler in the Netflix series "Stranger Things", and Richie Tozier in the 2017 film adaptation of Stephen King's "It".

[Assistant] {"answer": "Finn Wolfhard", "citations": [{"claim": "What Canadian actor born in 2002 stars on Stranger Things?", "evidence": "Stranger Things is an American science fiction-horror web television series created, written, directed and co-executive produced by the Duffer Brothers, as well as co-executive-produced by Shawn Levy and Dan Cohen.", "source": "Stranger Things"}, {"claim": "What Canadian actor born in 2002 stars on Stranger Things?", "evidence": "The first season stars Winona Ryder, David Harbour, Finn Wolfhard, Millie Bobby Brown, Gaten Matarazzo, Caleb McLaughlin, Natalia Dyer, Charlie Heaton, Cara Buono, and Matthew Modine, with Noah Schnapp and Joe Keery in recurring roles.", "source": "Stranger Things"}, {"claim": "What Canadian actor born in 2002 stars on Stranger Things?", "evidence": "Finn Wolfhard (born 23 December 2002) is a Canadian actor and voice actor.", "source": "Finn Wolfhard"}, {"claim": "What Canadian actor born in 2002 stars on Stranger Things?", "evidence": "He is best known for his starring roles as Mike Wheeler in the Netflix series \"Stranger Things\", and Richie Tozier in the 2017 film adaptation of Stephen King's \"It\".", "source": "Finn Wolfhard"}]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
Charity Shea, best known for her role of Samantha in "The Best Years" starred in the 2006 drama film "Alpha Dog" alongside which two male actors?

[Assistant] {"sub_questions": ["What does 'Charity Shea' contribute to answering: Charity Shea, best known for her role of Samantha in \"The Best Years\" starred in the 2006 drama film \"Alpha Dog\" alongside which two male actors?", "What does 'Alpha Dog' contribute to answering: Charity Shea, best known for her role of Samantha in \"The Best Years\" starred in the 2006 drama film \"Alpha Dog\" alongside which two male actors?"], "initial_queries": ["Charity Shea", "Alpha Dog"]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A:
 The Swan, which opened January 13, 1990 on Disney property, is a joint venture between the Walt Disney Company, Tishman Hotel Corporation, MetLife and Starwood Hotels and Resorts.

Passage B:
 The Swan, which opened January 13, 1995 on Disney property, is a joint venture between the Walt Disney Company, Tishman Hotel Corporation, MetLife and Starwood Hotels and Resorts.

[Assistant] {"contradictions": [{"claim_a": " The Swan, which opened January 13, 1990 on Disney property, is a joint venture between the Walt Disney Company, Tishman Hotel Corporation, MetLife and Starwood Hotels and Resorts.", "claim_b": " The Swan, which opened January 13, 1995 on Disney property, is a joint venture between the Walt Disney Company, Tishman Hotel Corporation, MetLife and Starwood Hotels and Resorts.", "evidence_a": " The Swan, which opened January 13, 1990 on Disney property, is a joint venture between the Walt Disney Company, Tishman Hotel Corporation, MetLife and Starwood Hotels and Resorts.", "evidence_b": " The Swan, which opened January 13, 1995 on Disney property, is a joint venture between the Walt Disney Company, Tishman Hotel Corporation, MetLife and Starwood Hotels and Resorts.", "resolution_strategy": "need_third_source"}]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'Peter Curtis (tennis)' contribute to answering: Do tenns players Peter Curtis and Andy Roddick have the same nationality?
- What does 'Andy Roddick' contribute to answering: Do tenns players Peter Curtis and Andy Roddick have the same nationality?

Entities:
Peter Curtis (tennis)

Relations:
Peter Curtis (tennis) -> RELATED_TO -> Do tenns players Peter Curtis and Andy Roddick have the same

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'Andy Roddick'", "suggested_queries": ["Andy Roddick"]}]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
What type of culture is written about in the magazine and website formerly known as boot?

[Assistant] {"sub_questions": ["What does 'Quinn Norton' contribute to answering: What type of culture is written about in the magazine and website formerly known as boot? ", "What does 'Maximum PC' contribute to answering: What type of culture is written about in the magazine and website formerly known as boot? "], "initial_queries": ["Quinn Norton", "Maximum PC"]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'The Brothers Creeggan' contribute to answering: Are The Brothers Creeggan and The Postal Service both American bands?
- What does 'The Postal Service' contribute to answering: Are The Brothers Creeggan and The Postal Service both American bands?

Entities:
The Postal Service

Relations:
The Postal Service -> RELATED_TO -> Are The Brothers Creeggan and The Postal Service both Americ

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'The Brothers Creeggan'", "suggested_queries": ["The Brothers Creeggan"]}]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Saratoga, New York'

Query history:
- James M. Cook

[Assistant] {"queries": ["Saratoga, New York"]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Jimmy Pop' contribute to answering: Vanilla Ice's album Hard to Swallow, features appearances from the lead signer of the band Bloodhound Gang, who was born on what day?

Research context: Investigating 'Vanilla Ice's album Hard to Swallow, features appearances from the lead signer of the band Bloodhound Gang, who was born on what day?'

[Assistant] {"queries": ["Jimmy Pop", "Jimmy Pop Vanilla Ice's album Hard to Swallow, features appearances fr"]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Amorites' contribute to answering: What was Eannatum's name known as for the ancient semitic-speaking people from Syria?

Research context: Investigating 'What was Eannatum's name known as for the ancient semitic-speaking people from Syria?'

[Assistant] {"queries": ["Amorites", "Amorites What was Eannatum's name known as for the ancient semitic-sp"]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
The 1989 Pittsburgh Pirates season was the 108th season of the Pittsburgh Pirates franchise; the 103rd in the National League, it was their 20th season at Three Rivers Stadium, Three Rivers Stadium was a multi-purpose stadium located in Pittsburgh, in which state?

[Assistant] {"sub_questions": ["What does '1989 Pittsburgh Pirates season' contribute to answering: The 1989 Pittsburgh Pirates season was the 108th season of the Pittsburgh Pirates franchise; the 103rd in the National League, it was their 20th season at Three Rivers Stadium, Three Rivers Stadium was a multi-purpose stadium located in Pittsburgh, in which state?", "What does 'Three Rivers Stadium' contribute to answering: The 1989 Pittsburgh Pirates season was the 108th season of the Pittsburgh Pirates franchise; the 103rd in the National League, it was their 20th season at Three Rivers Stadium, Three Rivers Stadium was a multi-purpose stadium located in Pittsburgh, in which state?"], "initial_queries": ["1989 Pittsburgh Pirates season", "Three Rivers Stadium"]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A (Epithelantha):
Epithelantha (button cactus) is a genus of cactus that is native to northeastern Mexico, and in an area from western Texas to Arizona.

Passage B (Hardenbergia):
Hardenbergia is a small genus of leguminous vines from Australia.

Research question: Which is a genus of vine, Epithelantha or Hardenbergia?

[Assistant] {"contradictions": [{"claim_a": "Epithelantha (button cactus) is a genus of cactus that is native to northeastern Mexico, and in an area from western Texas to Arizona.", "claim_b": "Hardenbergia is a small genus of leguminous vines from Australia.", "evidence_a": "Epithelantha (button cactus) is a genus of cactus that is native to northeastern Mexico, and in an area from western Texas to Arizona.", "evidence_b": "Hardenbergia is a small genus of leguminous vines from Australia.", "resolution_strategy": "note_disagreement"}]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'Vasudhara Dairy' contribute to answering: Vasudhara Dairy headquarted in Alipore also does business as what brand?
- What does 'Amul' contribute to answering: Vasudhara Dairy headquarted in Alipore also does business as what brand?

Entities:
Amul

Relations:
Vasudhara Dairy -> RELATED_TO -> Vasudhara Dairy headquarted in Alipore also does business as; Amul -> RELATED_TO -> Vasudhara Dairy headquarted in Alipore also does business as

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'Vasudhara Dairy'", "suggested_queries": ["Vasudhara Dairy"]}]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A (Battle of Belleau Wood):
The Battle of Belleau Wood (1–26 June 1918) occurred during the German Spring Offensive in World War I, near the Marne River in France.

Passage B (Battle of Leyte):
The Battle of Leyte in the Pacific campaign of World War II was the amphibious invasion of the Gulf of Leyte in the Philippines by American forces and Filipino guerrillas under the command of General Douglas MacArthur, who fought against the Imperial Japanese Army in the Philippines led by General Tomoyuki Yamashita from 17 October - 26 December 1944.

Research question: Which lasted longer, the Battle of Belleau Wood or the Battle of Leyte?

[Assistant] {"contradictions": [{"claim_a": "The Battle of Belleau Wood (1–26 June 1918) occurred during the German Spring Offensive in World War I, near the Marne River in France.", "claim_b": "The Battle of Leyte in the Pacific campaign of World War II was the amphibious invasion of the Gulf of Leyte in the Philippines by American forces and Filipino guerrillas under the command of General Douglas MacArthur, who fought against the Imperial Japanese Army in the Philippines led by General Tomoyuki Yamashita from 17 October - 26 December 1944.", "evidence_a": "The Battle of Belleau Wood (1–26 June 1918) occurred during the German Spring Offensive in World War I, near the Marne River in France.", "evidence_b": "The Battle of Leyte in the Pacific campaign of World War II was the amphibious invasion of the Gulf of Leyte in the Philippines by American forces and Filipino guerrillas under the command of General Douglas MacArthur, who fought against the Imperial Japanese Army in the Philippines led by General Tomoyuki Yamashita from 17 October - 26 December 1944.", "resolution_strategy": "note_disagreement"}]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Shakeel Badayuni'

Query history:
- Jadoo (1951 film)

[Assistant] {"queries": ["Shakeel Badayuni"]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
Are Sleeper Agent and Pupil both rock bands?

[Assistant] {"sub_questions": ["What does 'Sleeper Agent (band)' contribute to answering: Are Sleeper Agent and Pupil both rock bands?", "What does 'Pupil (band)' contribute to answering: Are Sleeper Agent and Pupil both rock bands?"], "initial_queries": ["Sleeper Agent (band)", "Pupil (band)"]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Quiggin's
Quiggin's is one of three companies that make Kendal Mint Cake.
 They were founded in 1880 by the Quiggin's family.

## Kendal Mint Cake
Kendal Mint Cake is a glucose-based confection flavoured with peppermint.
 It originates from Kendal in Cumbria, England.
 Kendal Mint Cake is popular among climbers and mountaineers, especially those from the United Kingdom, as a source of energy.

[Assistant] {"entities": [{"name": "Quiggin's", "entity_type": "Concept", "description": "Wikipedia article relevant to: When was one of the companies that makes the glucose based peppermint cake found", "confidence": 0.9}, {"name": "Kendal Mint Cake", "entity_type": "Concept", "description": "Wikipedia article relevant to: When was one of the companies that makes the glucose based peppermint cake found", "confidence": 0.9}], "relations": [{"source_entity": "Quiggin's", "relation_type": "RELATED_TO", "target_entity": "When was one of the companies that makes the glucose based p", "confidence": 0.95, "evidence": "Quiggin's is one of three companies that make Kendal Mint Cake."}, {"source_entity": "Quiggin's", "relation_type": "RELATED_TO", "target_entity": "When was one of the companies that makes the glucose based p", "confidence": 0.95, "evidence": "They were founded in 1880 by the Quiggin's family."}, {"source_entity": "Kendal Mint Cake", "relation_type": "RELATED_TO", "target_entity": "When was one of the companies that makes the glucose based p", "confidence": 0.95, "evidence": "Kendal Mint Cake is a glucose-based confection flavoured with peppermint."}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Jamal Lewis' contribute to answering: Where did the player who is ahead of Ray Rice in the Raven's list of all-time leading rushers play his college football ?

Research context: Investigating 'Where did the player who is ahead of Ray Rice in the Raven's list of all-time leading rushers play his college football ?'

[Assistant] {"queries": ["Jamal Lewis", "Jamal Lewis Where did the player who is ahead of Ray Rice in the Raven's"]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A:
 Released on August 18, 2016, the film stars Ryu Seung-ryong, Shim Eun-kyung and Lee Joon in the lead roles.

Passage B:
 Released on August 18, 2021, the film stars Ryu Seung-ryong, Shim Eun-kyung and Lee Joon in the lead roles.

[Assistant] {"contradictions": [{"claim_a": " Released on August 18, 2016, the film stars Ryu Seung-ryong, Shim Eun-kyung and Lee Joon in the lead roles.", "claim_b": " Released on August 18, 2021, the film stars Ryu Seung-ryong, Shim Eun-kyung and Lee Joon in the lead roles.", "evidence_a": " Released on August 18, 2016, the film stars Ryu Seung-ryong, Shim Eun-kyung and Lee Joon in the lead roles.", "evidence_b": " Released on August 18, 2021, the film stars Ryu Seung-ryong, Shim Eun-kyung and Lee Joon in the lead roles.", "resolution_strategy": "need_third_source"}]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## ABC Africa
ABC Africa is a 2001 Iranian documentary feature film directed by Abbas Kiarostami.
 It was screened out of competition at the 2001 Cannes Film Festival.

## 16 Days in Afghanistan
16 Days in Afghanistan is a 2007 documentary about the journey of Afghan-American Anwar Hajher (director) traveling to his homeland Afghanistan after 25 years to rediscover his country.
 The film is produced by Mithaq Kazimi and is the first documentary since the fall of Taliban to be shot in those provinces which remain under the heavy influence of the Taliban.
 It is also the first professionally produced documentary about Afghanistan by a team of Afghan filmmakers and has become a reference film used by many, including Penguin Books's study guides about Afghan-related books.

[Assistant] {"entities": [{"name": "ABC Africa", "entity_type": "Concept", "description": "Wikipedia article relevant to: Are ABC Africa and 16 Days in Afghanistan both documentaries?", "confidence": 0.9}, {"name": "16 Days in Afghanistan", "entity_type": "Concept", "description": "Wikipedia article relevant to: Are ABC Africa and 16 Days in Afghanistan both documentaries?", "confidence": 0.9}], "relations": [{"source_entity": "ABC Africa", "relation_type": "RELATED_TO", "target_entity": "Are ABC Africa and 16 Days in Afghanistan both documentaries", "confidence": 0.95, "evidence": "ABC Africa is a 2001 Iranian documentary feature film directed by Abbas Kiarostami."}, {"source_entity": "16 Days in Afghanistan", "relation_type": "RELATED_TO", "target_entity": "Are ABC Africa and 16 Days in Afghanistan both documentaries", "confidence": 0.95, "evidence": "16 Days in Afghanistan is a 2007 documentary about the journey of Afghan-American Anwar Hajher (director) traveling to his homeland Afghanistan after 25 years to rediscover his country."}]}


[System]
You are an expert research gap detector. Identify missing information that prevents fully answering the sub-questions. Provide specific search queries to resolve gaps. Output valid JSON only.

Output schema:
{
  "gaps": [{"gap_type": "missing_evidence|unanswered_subquestion|confidence|reflection", "severity": 0.0-1.0, "description": "string", "suggested_queries": ["string"]}]
}

[User]
Sub-questions:
- What does 'Solanum' contribute to answering: Which genus contains more species, Solanum or Coelia?
- What does 'Coelia' contribute to answering: Which genus contains more species, Solanum or Coelia?

Entities:
Coelia

Relations:
Solanum -> RELATED_TO -> Which genus contains more species, Solanum or Coelia?; Coelia -> RELATED_TO -> Which genus contains more species, Solanum or Coelia?

[Assistant] {"gaps": [{"gap_type": "missing_evidence", "severity": 0.9, "description": "No information retrieved from 'Solanum'", "suggested_queries": ["Solanum"]}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'The Shadow (1994 film)' contribute to answering: Which English actor, voice actor, comedian, and singer appeared in The Rocky Horror Picture Show" (1975) and "The Shadow" (1994)?

Research context: Investigating 'Which English actor, voice actor, comedian, and singer appeared in The Rocky Horror Picture Show" (1975) and "The Shadow" (1994)?'

[Assistant] {"queries": ["The Shadow (1994 film)", "The Shadow (1994 film) Which English actor, voice actor, comedian, and singer appea"]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Elias Koteas'

Query history:
- Elias Koteas

[Assistant] {"queries": ["Elias Koteas"]}


[System]
You are an expert research query generator. Given unresolved gaps and query history, generate novel follow-up search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — novel search queries not already in history"]
}

[User]
Unresolved gaps:
- No information retrieved from 'Baraka (film)'

Query history:
- Baraka (film)

[Assistant] {"queries": ["Baraka (film)"]}


[System]
You are an expert knowledge extractor. Extract entities and relationships from text. Evidence must be verbatim quotes from the source. Output valid JSON only.

Output schema:
{
  "entities": [{"name": "string", "entity_type": "Person|Organization|Concept|Technology|Event|Publication", "description": "string", "confidence": 0.0-1.0}],
  "relations": [{"source_entity": "string", "relation_type": "DEVELOPED_BY|USES|PART_OF|RELATED_TO|CONTRADICTS|COMPARED_TO", "target_entity": "string", "confidence": 0.0-1.0, "evidence": "verbatim quote from source"}]
}

[User]
Source text:
## Burgoo
Burgoo is a spicy stew, similar to Irish or Mulligan stew, often served with cornbread or corn muffins.
 It is often prepared communally as a social gathering.
 It is popular as the basis for civic fund-raisers in the American Midwest and South.

## Irish stew
Irish stew (Irish: "stobhach" / "Stobhach Gaelach ") is any variety of meat-and-root vegetables stew native to Ireland.
 As in all traditional folk dishes, the exact recipe is not consistent from time or place to place.
 Common ingredients include lamb, or mutton (mutton is used as it comes from less tender sheep over a year old, is fattier, and has a stronger flavour, and was generally more common in less-affluent times) as well as potatoes, onions, and parsley.
 It may sometimes also include carrots.
 Irish stew is also made with kid goat.

[Assistant] {"entities": [{"name": "Burgoo", "entity_type": "Concept", "description": "Wikipedia article relevant to: The stew most similar to stobhach is served over what type of bread?", "confidence": 0.9}, {"name": "Irish stew", "entity_type": "Concept", "description": "Wikipedia article relevant to: The stew most similar to stobhach is served over what type of bread?", "confidence": 0.9}], "relations": [{"source_entity": "Burgoo", "relation_type": "RELATED_TO", "target_entity": "The stew most similar to stobhach is served over what type o", "confidence": 0.95, "evidence": "Burgoo is a spicy stew, similar to Irish or Mulligan stew, often served with cornbread or corn muffins."}, {"source_entity": "Irish stew", "relation_type": "RELATED_TO", "target_entity": "The stew most similar to stobhach is served over what type o", "confidence": 0.95, "evidence": "Irish stew (Irish: \"stobhach\" / \"Stobhach Gaelach \") is any variety of meat-and-root vegetables stew native to Ireland."}]}


[System]
You are an expert search planner. Given a sub-question and context, generate 1-2 highly targeted web search queries. Output valid JSON only.

Output schema:
{
  "queries": ["string — targeted search queries for this sub-question"]
}

[User]
Sub-question: What does 'Evan Buliung' contribute to answering: Evan Buliung played the role of Aragorn in the Toronto production of the most prominent of several theatre adaptations of what kind of book series?

Research context: Investigating 'Evan Buliung played the role of Aragorn in the Toronto production of the most prominent of several theatre adaptations of what kind of book series?'

[Assistant] {"queries": ["Evan Buliung", "Evan Buliung Evan Buliung played the role of Aragorn in the Toronto produ"]}


[System]
You are an expert at detecting contradictions in research evidence. Identify conflicting claims and propose resolution strategies. Output valid JSON only.

Output schema:
{
  "contradictions": [{"claim_a": "string", "claim_b": "string", "evidence_a": "verbatim quote", "evidence_b": "verbatim quote", "resolution_strategy": "trust_source_a|trust_source_b|note_disagreement|need_third_source"}]
}

[User]
Passage A:
 The wing was activated at Eglin in 1994 as the 96th Air Base Wing, the headquarters for all support units on Eglin, the largest installation in the Air Force.

Passage B:
 The wing was activated at Eglin in 1999 as the 96th Air Base Wing, the headquarters for all support units on Eglin, the largest installation in the Air Force.

[Assistant] {"contradictions": [{"claim_a": " The wing was activated at Eglin in 1994 as the 96th Air Base Wing, the headquarters for all support units on Eglin, the largest installation in the Air Force.", "claim_b": " The wing was activated at Eglin in 1999 as the 96th Air Base Wing, the headquarters for all support units on Eglin, the largest installation in the Air Force.", "evidence_a": " The wing was activated at Eglin in 1994 as the 96th Air Base Wing, the headquarters for all support units on Eglin, the largest installation in the Air Force.", "evidence_b": " The wing was activated at Eglin in 1999 as the 96th Air Base Wing, the headquarters for all support units on Eglin, the largest installation in the Air Force.", "resolution_strategy": "need_third_source"}]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
The 1957 Cannes Film Festival opened with what film starring Cantinflas and David Niven?

[Assistant] {"sub_questions": ["What does '1957 Cannes Film Festival' contribute to answering: The 1957 Cannes Film Festival opened with what film starring Cantinflas and David Niven?", "What does 'Around the World in 80 Days (1956 film)' contribute to answering: The 1957 Cannes Film Festival opened with what film starring Cantinflas and David Niven?"], "initial_queries": ["1957 Cannes Film Festival", "Around the World in 80 Days (1956 film)"]}


[System]
You are an expert research planner. Break down complex research questions into 2-5 distinct sub-questions and generate effective web search queries. Output valid JSON only.

Output schema:
{
  "sub_questions": ["string — 2-5 distinct sub-questions"],
  "initial_queries": ["string — 1-2 search queries per sub-question"]
}

[User]
Research question:
"Go Off" is a song on the album AIM by what rapper and record producer?

[Assistant] {"sub_questions": ["What does 'Go Off' contribute to answering: \"Go Off\" is a song on the album AIM by what rapper and record producer?", "What does 'AIM (album)' contribute to answering: \"Go Off\" is a song on the album AIM by what rapper and record producer?"], "initial_queries": ["Go Off", "AIM (album)"]}