Triple

T12261082
Position Surface form Disambiguated ID Type / Status
Subject The Carpetbaggers E292225 entity
Predicate screenwriter P2831 FINISHED
Object John Michael Hayes E302114 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: John Michael Hayes | Statement: [The Carpetbaggers, screenwriter, John Michael Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Michael Hayes
Context triple: [The Carpetbaggers, screenwriter, John Michael Hayes]
  • A. John Michael Hayes chosen
    John Michael Hayes was an American screenwriter best known for his collaborations with Alfred Hitchcock, including writing the screenplay for "Rear Window."
  • B. David Hayes
    David Hayes is an American music industry figure best known as the co-founder of the influential punk label Lookout! Records.
  • C. Michael Hayes
    Michael Hayes was a British television director best known for his work on the classic science fiction series Doctor Who, including the acclaimed serial "City of Death."
  • D. John Hayes
    John Hayes is a technology entrepreneur best known as a co-founder of the data storage company Pure Storage.
  • E. Billy Hayes
    Billy Hayes is an American writer and former drug smuggler best known for his autobiographical account of imprisonment in Turkey, which inspired the book and film "Midnight Express."
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9fc934819089f68bcc823015da completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:52 p.m.