Triple

T12877367
Position Surface form Disambiguated ID Type / Status
Subject Cocktail E308002 entity
Predicate basedOnWorkAuthor P2806 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: [Cocktail, basedOnWorkAuthor, Heywood Gould]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heywood Gould
Context triple: [Cocktail, basedOnWorkAuthor, 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716b63ad481909eb461d923f0d0c2 completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 5:38 p.m.