Triple

T23182286
Position Surface form Disambiguated ID Type / Status
Subject Blue Christmas E579494 entity
Predicate writer P1360 FINISHED
Object Billy Hayes NE NERFINISHED

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: Billy Hayes | Statement: [Blue Christmas, writer, Billy Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billy Hayes
Context triple: [Blue Christmas, writer, Billy Hayes]
  • A. Billy Hayes chosen
    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."
  • B. Les Hayes
    Les Hayes is a small French commune located in the Loir-et-Cher department in central France.
  • C. Mel Hayes
    Mel Hayes is a fictional character from the soap opera "One Life to Live," known primarily as one of the spouses of Dorian Lord.
  • D. John Michael Hayes
    John Michael Hayes was an American screenwriter best known for his collaborations with Alfred Hitchcock, including writing the screenplay for "Rear Window."
  • E. Peter Hayes
    Peter Hayes is a British diplomat and civil servant who has served in senior roles including Commissioner of the British Antarctic Territory.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6f770c81908622085693e37123 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.