Triple

T4418178
Position Surface form Disambiguated ID Type / Status
Subject Lafayette High School E95027 entity
Predicate hasAlumnus P51 FINISHED
Object Lawrence Taylor E11251 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: Lawrence Taylor | Statement: [Lafayette High School, hasAlumnus, Lawrence Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Taylor
Context triple: [Lafayette High School, hasAlumnus, Lawrence Taylor]
  • A. Lawrence Taylor chosen
    Lawrence Taylor is a legendary former NFL linebacker widely regarded as one of the greatest defensive players in football history.
  • B. Ronde Barber
    Ronde Barber is a former NFL cornerback renowned for his long, standout career with the Tampa Bay Buccaneers, where he became one of the league’s most productive and durable defensive backs.
  • C. Kenny Easley
    Kenny Easley is a former NFL safety and Pro Football Hall of Famer best known for his dominant play with the Seattle Seahawks in the 1980s.
  • D. 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.
  • E. 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.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551d5d7481908528c2de0a6fda06 completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b627f1a7a0819087652c3599855274 completed March 15, 2026, 3:30 a.m.
Created at: March 12, 2026, 11:29 p.m.