Triple

T12649366
Position Surface form Disambiguated ID Type / Status
Subject John Michael Hayes E302114 entity
Predicate awardReceived P11 FINISHED
Object Edgar Award E39589 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: Edgar Award | Statement: [John Michael Hayes, awardReceived, Edgar Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edgar Award
Context triple: [John Michael Hayes, awardReceived, Edgar Award]
  • A. Edgar Award chosen
    The Edgar Award is a prestigious American literary prize presented by the Mystery Writers of America to honor outstanding works in mystery and crime fiction and nonfiction.
  • B. Macavity Award
    The Macavity Award is a prestigious annual honor presented by the Mystery Readers International organization to recognize outstanding works in the mystery and crime fiction genre.
  • C. Gold Dagger
    The Gold Dagger is a prestigious annual award presented by the Crime Writers' Association for the best crime novel of the year.
  • D. Crime Writers’ Association Diamond Dagger
    The Crime Writers’ Association Diamond Dagger is a prestigious lifetime achievement award honoring outstanding contributions to the field of crime writing.
  • E. Dilys Award
    The Dilys Award is a mystery fiction prize presented annually by the Independent Mystery Booksellers Association to the book they most enjoyed selling that year.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687dad6c8190bb72bfebf6636a37 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.