Triple

T8486254
Position Surface form Disambiguated ID Type / Status
Subject The Full Monty E200838 entity
Predicate stars P1956 FINISHED
Object Paul Barber
Paul Barber is a British actor best known for his role as Horse in the hit comedy film "The Full Monty" and for his extensive work in UK television and theatre.
 E736162 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: Paul Barber | Statement: [The Full Monty, stars, Paul Barber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Barber
Context triple: [The Full Monty, stars, Paul Barber]
  • A. John Hackett
    John Hackett is a name shared by several notable individuals, including military leaders, musicians, and public figures distinguished in their respective fields.
  • B. Paul Thorn
    Paul Thorn is an American singer-songwriter and former professional boxer known for his blend of roots rock, blues, and Americana music.
  • C. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • D. John Stanier
    John Stanier is a cinematographer best known for his work on major action films such as "Rambo III."
  • E. John Stanier
    John Stanier is an American drummer best known for his powerful, precise playing with the alternative metal band Helmet and later with experimental rock groups like Battles.
  • 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: Paul Barber
Triple: [The Full Monty, stars, Paul Barber]
Generated description
Paul Barber is a British actor best known for his role as Horse in the hit comedy film "The Full Monty" and for his extensive work in UK television and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Barber
Target entity description: Paul Barber is a British actor best known for his role as Horse in the hit comedy film "The Full Monty" and for his extensive work in UK television and theatre.
  • A. John Hackett
    John Hackett is a name shared by several notable individuals, including military leaders, musicians, and public figures distinguished in their respective fields.
  • B. Paul Thorn
    Paul Thorn is an American singer-songwriter and former professional boxer known for his blend of roots rock, blues, and Americana music.
  • C. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • D. John Stanier
    John Stanier is a cinematographer best known for his work on major action films such as "Rambo III."
  • E. John Stanier
    John Stanier is an American drummer best known for his powerful, precise playing with the alternative metal band Helmet and later with experimental rock groups like Battles.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3c22f3c0819084803630d438c55e completed April 2, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ce3ca57ec081909a14d962eee2c9a5 completed April 2, 2026, 9:53 a.m.
Created at: March 30, 2026, 6:12 p.m.