Triple

T4219531
Position Surface form Disambiguated ID Type / Status
Subject Rear Window E94305 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: [Rear Window, screenwriter, John Michael Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Michael Hayes
Context triple: [Rear Window, 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. Peter Hayes
    Peter Hayes is a British diplomat and civil servant who has served in senior roles including Commissioner of the British Antarctic Territory.
  • C. Gregory J. Hayes
    Gregory J. Hayes is an American business executive best known for leading major aerospace and defense companies, including serving as CEO of RTX (formerly Raytheon Technologies).
  • D. Patrick Joseph Hayes
    Patrick Joseph Hayes was an American cardinal of the Roman Catholic Church who served as Archbishop of New York in the early 20th century.
  • E. John Requa
    John Requa is an American screenwriter and director known for co-writing films such as "Bad Santa," "I Love You Phillip Morris," and "Jungle Cruise."
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0b2ee08190930600e1e802b325 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d05b964881908d7d52b70cec2dcc completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:04 p.m.