Triple

T13702730
Position Surface form Disambiguated ID Type / Status
Subject Fort Apache, The Bronx E328559 entity
Predicate screenwriter P2831 FINISHED
Object Heywood Gould E260540 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: Heywood Gould | Statement: [Fort Apache, The Bronx, screenwriter, Heywood Gould]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heywood Gould
Context triple: [Fort Apache, The Bronx, screenwriter, Heywood Gould]
  • A. Heywood Gould chosen
    Heywood Gould is an American screenwriter, director, and novelist known for writing films such as "The Boys from Brazil" and "Fort Apache, The Bronx."
  • B. James Gould
    James Gould was an American jurist and legal educator known for his influential role in early 19th-century legal training in the United States.
  • C. George Oatley
    George Oatley was a British architect best known for designing prominent early 20th-century buildings in Bristol, England.
  • D. James Isaacs
    James Isaacs is a game designer best known for his work on the racing title Mad Dash Racing.
  • E. George Selwyn
    George Selwyn was an 18th-century English politician and noted wit, famed for his macabre sense of humor and prominent role in London high society.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad162158819089280ee1e6b5c2cf completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b06554748190bf76e3383413a3c4 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:54 p.m.