Triple

T3108274
Position Surface form Disambiguated ID Type / Status
Subject Charles Woodson E64886 entity
Predicate collegeAward P11 FINISHED
Object Chuck Bednarik Award E326942 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: Chuck Bednarik Award | Statement: [Charles Woodson, collegeAward, Chuck Bednarik Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuck Bednarik Award
Context triple: [Charles Woodson, collegeAward, Chuck Bednarik Award]
  • A. Ted Hendricks Award
    The Ted Hendricks Award is an annual college football honor given to the nation’s top defensive end.
  • B. Bert Bell Award
    The Bert Bell Award is an annual National Football League honor presented to the league's most outstanding player, as selected by the Maxwell Football Club.
  • C. Bronko Nagurski Trophy chosen
    The Bronko Nagurski Trophy is an annual college football award presented to the top defensive player in the NCAA.
  • D. Ted Lindsay Award
    The Ted Lindsay Award is the National Hockey League’s annual honor given to the most outstanding player as voted by fellow players, emphasizing peer recognition of individual excellence.
  • E. Otto Laporte Award
    The Otto Laporte Award was a prestigious American Physical Society prize recognizing outstanding contributions to fluid dynamics research.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29eacc88190a19c5ca8e53e3dca completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f5cfc7c8190b867794c0e9a271e completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.