Triple

T8852669
Position Surface form Disambiguated ID Type / Status
Subject Jerry Rice E210674 entity
Predicate birthName P65 FINISHED
Object Jerry Lee Rice E210674 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: Jerry Lee Rice | Statement: [Jerry Rice, birthName, Jerry Lee Rice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Lee Rice
Context triple: [Jerry Rice, birthName, Jerry Lee Rice]
  • A. Jerry Rice chosen
    Jerry Rice is a Hall of Fame American football wide receiver widely regarded as one of the greatest players in NFL history, known especially for his record-breaking career with the San Francisco 49ers.
  • B. Randy Jones
    Randy Jones is a former Major League Baseball pitcher best known for his standout career with the San Diego Padres in the 1970s, including winning the 1976 National League Cy Young Award.
  • C. Ty Law
    Ty Law is a former NFL cornerback best known for his Pro Bowl career with the New England Patriots and induction into the Pro Football Hall of Fame.
  • D. Michael Irvin
    Michael Irvin is a Hall of Fame former NFL wide receiver best known as a key offensive star of the Dallas Cowboys dynasty of the 1990s.
  • E. Fred Biletnikoff
    Fred Biletnikoff is a Hall of Fame American football wide receiver best known for his prolific career with the Oakland Raiders and his precise route running and reliable hands.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c55e348190957b3bbb7397e380 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab8911c8819083f5caa318071720 completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:49 p.m.