Triple

T5532724
Position Surface form Disambiguated ID Type / Status
Subject Fury E145086 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: [Fury, producer, Bill Block]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Block
Context triple: [Fury, 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. 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."
  • D. Greg Morrisett
    Greg Morrisett is a computer scientist known for his work on programming languages and type systems, particularly in the design of safe and secure systems.
  • E. Marshall Rose
    Marshall Rose is a wealthy New York real estate developer and philanthropist known for his work in high-end property and arts patronage.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028094fa48190a1f48779a7963af9 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:34 p.m.