Triple

T14745400
Position Surface form Disambiguated ID Type / Status
Subject The Hitman’s Bodyguard E346455 entity
Predicate producer P490 FINISHED
Object Matt O’Toole
Matt O’Toole is a film producer known for his work on action and thriller movies, including the hit film "The Hitman’s Bodyguard."
E1117212 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Matt O’Toole | Statement: [The Hitman’s Bodyguard, producer, Matt O’Toole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt O’Toole
Context triple: [The Hitman’s Bodyguard, producer, Matt O’Toole]
  • A. Mark O'Toole
    Mark O'Toole is a writer best known for his work on the British sitcom "Relax."
  • B. Mark O'Toole
    Mark O'Toole is an English musician and bassist best known as a founding member of the 1980s pop band Frankie Goes to Hollywood.
  • C. Tim O'Connor
    Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
  • D. Kevin O’Hare
    Kevin O’Hare is a British former dancer and prominent ballet director best known for leading London’s Royal Ballet.
  • E. Sean O’Brien
    Sean O’Brien is an American labor leader who serves as the president of the International Brotherhood of Teamsters and a prominent figure in contemporary union organizing.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matt O’Toole
Triple: [The Hitman’s Bodyguard, producer, Matt O’Toole]
Generated description
Matt O’Toole is a film producer known for his work on action and thriller movies, including the hit film "The Hitman’s Bodyguard."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matt O’Toole
Target entity description: Matt O’Toole is a film producer known for his work on action and thriller movies, including the hit film "The Hitman’s Bodyguard."
  • A. Mark O'Toole
    Mark O'Toole is a writer best known for his work on the British sitcom "Relax."
  • B. Mark O'Toole
    Mark O'Toole is an English musician and bassist best known as a founding member of the 1980s pop band Frankie Goes to Hollywood.
  • C. Tim O'Connor
    Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
  • D. Kevin O’Hare
    Kevin O’Hare is a British former dancer and prominent ballet director best known for leading London’s Royal Ballet.
  • E. Sean O’Brien
    Sean O’Brien is an American labor leader who serves as the president of the International Brotherhood of Teamsters and a prominent figure in contemporary union organizing.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9638648190a2a3eb255ec5ae28 completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdfe5f00b08190ba44acd2eed94333 completed May 8, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69fdff32e0a48190acc14ceccea3df17 completed May 8, 2026, 3:20 p.m.
Created at: April 10, 2026, 1:30 a.m.