Triple

T7425064
Position Surface form Disambiguated ID Type / Status
Subject Michael Crabtree E171346 entity
Predicate awardReceived P11 FINISHED
Object Biletnikoff Award 2007 E663320 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: Biletnikoff Award 2007 | Statement: [Michael Crabtree, awardReceived, Biletnikoff Award 2007]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biletnikoff Award 2007
Context triple: [Michael Crabtree, awardReceived, Biletnikoff Award 2007]
  • A. Biletnikoff Award chosen
    The Biletnikoff Award is an annual college football honor presented to the nation’s most outstanding receiver at any position.
  • B. Bollingen Prize
    The Bollingen Prize is a prestigious American literary award given for outstanding achievement in poetry.
  • C. Francqui Prize
    The Francqui Prize is a prestigious Belgian scientific award granted to outstanding researchers for exceptional contributions in their fields.
  • D. Remsen Award
    The Remsen Award is a prestigious chemistry honor recognizing outstanding research achievements, particularly in organic and bioorganic chemistry.
  • E. Yurii Rubinsky Memorial Award
    The Yurii Rubinsky Memorial Award is a recognition in the field of digital media and hypertext, honoring individuals who have made significant contributions to the development and promotion of open, accessible electronic publishing.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f302b33481908eae877970f2bbdf completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8277f749c8190a91f620c71c48433 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 3:12 p.m.