Triple

T16063697
Position Surface form Disambiguated ID Type / Status
Subject Sullivan Award E389676 entity
Predicate notableRecipient P108 FINISHED
Object Tim Tebow E492151 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: Tim Tebow | Statement: [Sullivan Award, notableRecipient, Tim Tebow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Tebow
Context triple: [Sullivan Award, notableRecipient, Tim Tebow]
  • A. Tim Tebow chosen
    Tim Tebow is a former American football quarterback best known for his standout college career at the University of Florida and his brief but highly publicized tenure in the NFL.
  • B. Kyle Boller
    Kyle Boller is a former American football quarterback best known for his NFL career with the Baltimore Ravens after a standout college tenure at the University of California.
  • C. Ryan Finley
    Ryan Finley is an American entrepreneur best known as the founder of the online survey platform SurveyMonkey.
  • D. EJ Manuel
    EJ Manuel is a former American football quarterback best known for his collegiate career at Florida State and his time in the NFL with the Buffalo Bills.
  • E. Brady Hartsfield
    Brady Hartsfield is the psychopathic mass murderer and cyberterrorist who serves as the central villain of Stephen King’s Bill Hodges trilogy, including the novel "End of Watch."
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837b048881908326739bbede756f completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ca9748190be24a490c3cf0e8c completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.