Triple

T19161275
Position Surface form Disambiguated ID Type / Status
Subject Fame (2009 film) E469059 entity
Predicate mainCharacter P1183 FINISHED
Object Kevin Barrett
Kevin Barrett is the central protagonist of the 2009 film "Fame," around whom the story’s exploration of ambition and artistic growth revolves.
E1361023 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: Kevin Barrett | Statement: [Fame (2009 film), mainCharacter, Kevin Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Barrett
Context triple: [Fame (2009 film), mainCharacter, Kevin Barrett]
  • A. Kevin Barrett
    Kevin Barrett is a former New Zealand rugby union player and Taranaki stalwart, best known as the father of All Blacks stars including Beauden Barrett.
  • B. Michael Allen Jones
    Michael Allen Jones is an American rapper better known by his stage name Mike Jones, who gained mainstream popularity in the mid-2000s with hits like "Still Tippin'" and "Back Then."
  • C. Mike Savage
    Mike Savage is a Canadian politician who has served as the mayor of Halifax, Nova Scotia.
  • D. Kevin McCormick
    Kevin McCormick is a film producer known for his work on major Hollywood projects, including the crime drama "Gangster Squad."
  • E. John Batchelor
    John Batchelor is an Australian actor known for his work in film, television, and theatre.
  • 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: Kevin Barrett
Triple: [Fame (2009 film), mainCharacter, Kevin Barrett]
Generated description
Kevin Barrett is the central protagonist of the 2009 film "Fame," around whom the story’s exploration of ambition and artistic growth revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kevin Barrett
Target entity description: Kevin Barrett is the central protagonist of the 2009 film "Fame," around whom the story’s exploration of ambition and artistic growth revolves.
  • A. Kevin Barrett
    Kevin Barrett is a former New Zealand rugby union player and Taranaki stalwart, best known as the father of All Blacks stars including Beauden Barrett.
  • B. Michael Allen Jones
    Michael Allen Jones is an American rapper better known by his stage name Mike Jones, who gained mainstream popularity in the mid-2000s with hits like "Still Tippin'" and "Back Then."
  • C. Mike Savage
    Mike Savage is a Canadian politician who has served as the mayor of Halifax, Nova Scotia.
  • D. Kevin McCormick
    Kevin McCormick is a film producer known for his work on major Hollywood projects, including the crime drama "Gangster Squad."
  • E. John Batchelor
    John Batchelor is an Australian actor known for his work in film, television, and theatre.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eebd093c81909a50f1119e284069 completed April 20, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f25cc54c819096b3cac034630990 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f375f2d4819084f53e73f9573ee8 completed May 15, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a06f45351208190988e70cf325f554f completed May 15, 2026, 10:24 a.m.
Created at: April 10, 2026, 12:06 p.m.