Triple

T5714067
Position Surface form Disambiguated ID Type / Status
Subject Bulworth E125979 entity
Predicate castMember P1668 FINISHED
Object Jack Warden E180195 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: Jack Warden | Statement: [Bulworth, castMember, Jack Warden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Warden
Context triple: [Bulworth, castMember, Jack Warden]
  • A. Jack Warden chosen
    Jack Warden was an American character actor known for his prolific film and television career, including notable roles in classics like "12 Angry Men," "Heaven Can Wait," and "Shampoo."
  • B. George Sowards
    George Sowards is an actor known for his role in the film "Shotgun."
  • C. Robert Joy
    Robert Joy is a Canadian actor best known for his character roles in film and television, including his work on the crime drama series CSI: NY.
  • D. Warren Foster
    Warren Foster was an American animation writer best known for his influential work on classic Warner Bros. cartoons, including many featuring characters like Foghorn Leghorn.
  • E. Kurtwood Smith
    Kurtwood Smith is an American character actor best known for playing the strict father Red Forman on the sitcom "That '70s Show" and for roles in films like "RoboCop."
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b6c7c8819095a92f2ccede1197 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf87816c81909fa505cbd23c89c5 completed March 23, 2026, 4:20 a.m.
Created at: March 22, 2026, 3:46 p.m.