Triple

T7057279
Position Surface form Disambiguated ID Type / Status
Subject Highland Park High School E164125 entity
Predicate hasAlumnus P51 FINISHED
Object Bobby Layne E196288 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: Bobby Layne | Statement: [Highland Park High School, hasAlumnus, Bobby Layne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobby Layne
Context triple: [Highland Park High School, hasAlumnus, Bobby Layne]
  • A. Bobby Layne chosen
    Bobby Layne was a Hall of Fame NFL quarterback renowned for leading the Detroit Lions to multiple championships in the 1950s and for his tough, charismatic playing style.
  • B. William Gleason
    William Gleason was a member of the prominent Gleason family associated with American industrialist and engineer Kate Gleason.
  • C. Billy Cannon
    Billy Cannon was a star American football halfback and return specialist, famed for his collegiate heroics at LSU and successful professional career in both the AFL and NFL.
  • D. Lou Marsh
    Lou Marsh was a prominent Canadian sports journalist and referee whose legacy is honored through Canada's annual award for the country's top athlete.
  • E. Clarence Muse
    Clarence Muse was an American actor, director, and composer known as a pioneering Black performer in early 20th-century film and theater.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e26a130c81908bdad15f5c4ae15d completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788a303148190869be2a455d28791 completed March 28, 2026, 7:52 a.m.
Created at: March 27, 2026, 2:38 p.m.