Triple

T22976647
Position Surface form Disambiguated ID Type / Status
Subject Daniel Woodrell E571337 entity
Predicate awardReceived P11 FINISHED
Object PEN USA Award for Fiction 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: PEN USA Award for Fiction | Statement: [Daniel Woodrell, awardReceived, PEN USA Award for Fiction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEN USA Award for Fiction
Context triple: [Daniel Woodrell, awardReceived, PEN USA Award for Fiction]
  • A. PEN/USA Award for Fiction chosen
    The PEN/USA Award for Fiction is a prestigious American literary prize presented by PEN Center USA to honor outstanding works of fiction.
  • B. PEN Biography Award
    The PEN Biography Award was a literary prize presented by PEN America to honor outstanding works of biography.
  • C. PEN/Hemingway Award
    The PEN/Hemingway Award is a prestigious American literary prize honoring an outstanding debut work of fiction by an author.
  • D. PEN Writing Award
    The PEN Writing Award is a literary honor presented by PEN to recognize outstanding achievement and contributions in writing.
  • E. PEN New England Award
    The PEN New England Award is a regional literary prize presented by the PEN New England branch to honor outstanding works of writing and promote literary excellence.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182369b548190a6630655a6e0bb39 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.