Triple

T1105520
Position Surface form Disambiguated ID Type / Status
Subject Argo E25479 entity
Predicate castMember P1668 FINISHED
Object John Goodman E91731 NE FINISHED

How this triple was built (2 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: John Goodman | Statement: [Argo, castMember, John Goodman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Goodman
Context triple: [Argo, castMember, John Goodman]
  • A. John Goodman chosen
    John Goodman is an American actor known for his roles in the sitcom "Roseanne," numerous Coen brothers films, and for voicing Sulley in Pixar's "Monsters, Inc." franchise.
  • B. Bill Paxton
    Bill Paxton was an American actor and filmmaker known for his versatile roles in films such as "Aliens," "Twister," "Titanic," and "Apollo 13."
  • C. Craig T. Nelson
    Craig T. Nelson is an American actor best known for his Emmy-winning role as football coach Hayden Fox on the TV sitcom "Coach" and for voicing Bob Parr/Mr. Incredible in Pixar's "The Incredibles" films.
  • D. James Woods
    James Woods is an American actor known for his intense performances in film and television, including acclaimed roles in movies such as "Salvador," "Videodrome," and "Casino."
  • E. Danny Glover
    Danny Glover is an American actor and activist best known for his roles in films such as the "Lethal Weapon" series and "The Color Purple."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f2dc92481909ee6d9d6d4257f1b completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:43 p.m.