Triple

T14854225
Position Surface form Disambiguated ID Type / Status
Subject W. (film) E349310 entity
Predicate producer P490 FINISHED
Object Bill Block E101425 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: Bill Block | Statement: [W. (film), producer, Bill Block]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Block
Context triple: [W. (film), producer, Bill Block]
  • A. Bill Block chosen
    Bill Block is an American film producer and studio executive known for overseeing and financing a wide range of major Hollywood films.
  • B. Robert Prosky
    Robert Prosky was an American character actor known for his warm, authoritative presence in film, television, and theater, with notable roles in works like "Hill Street Blues," "Broadcast News," and numerous stage productions.
  • C. Paul Krassner
    Paul Krassner was an American satirist, author, and founder of the countercultural magazine The Realist, known for his influential role in 1960s radical politics and comedy.
  • D. John Bloom
    John Bloom is a film editor best known for his Academy Award-winning work on movies such as "Gandhi" and his editing contributions to notable films including "Charlie Wilson's War."
  • E. Danny Donahue
    Danny Donahue is a central character in the comedy film "Role Models," serving as one of the key figures around whom the story’s mentorship and personal growth themes revolve.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6506ace48190819504b93f575660 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.