Triple

T5702502
Position Surface form Disambiguated ID Type / Status
Subject Plaxico Burress E125696 entity
Predicate givenName P17 FINISHED
Object Plaxico E24208 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: Plaxico | Statement: [Plaxico Burress, givenName, Plaxico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plaxico
Context triple: [Plaxico Burress, givenName, Plaxico]
  • A. Warren Sapp
    Warren Sapp is a Hall of Fame former NFL defensive tackle renowned for his dominant play with the Tampa Bay Buccaneers and his role in their Super Bowl XXXVII victory.
  • B. Plaxico Burress chosen
    Plaxico Burress is a former NFL wide receiver best known for his time with the Pittsburgh Steelers and New York Giants, including catching the game-winning touchdown in Super Bowl XLII.
  • C. Darrell Green
    Darrell Green is a Hall of Fame NFL cornerback renowned for his exceptional speed and longevity during a 20-year career with Washington’s football franchise.
  • D. Darrelle
    Darrelle is the given name of former NFL All-Pro cornerback Darrelle Revis, renowned for his lockdown coverage skills.
  • E. Bo Jackson
    Bo Jackson is a legendary American multi-sport athlete renowned for starring in both Major League Baseball and the National Football League during the late 1980s and early 1990s.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0245581988190a819b8137533ed31 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07de28424819090ff1f4a4b6cc9c0 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:45 p.m.