Triple

T12345047
Position Surface form Disambiguated ID Type / Status
Subject Johnny Lujack E294329 entity
Predicate playedForCoach P34189 FINISHED
Object Frank Leahy E278044 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: Frank Leahy | Statement: [Johnny Lujack, playedForCoach, Frank Leahy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Leahy
Context triple: [Johnny Lujack, playedForCoach, Frank Leahy]
  • A. Frank Leahy chosen
    Frank Leahy was a legendary American college football coach best known for leading the University of Notre Dame to multiple national championships in the 1940s and early 1950s.
  • B. John J. McNamara
    John J. McNamara was an American labor union official best known for his role as a defendant in the early 20th-century Los Angeles Times bombing case involving the McNamara brothers.
  • C. Tom Dugan
    Tom Dugan was an American character actor of the early 20th century, known for his numerous supporting roles in Hollywood films.
  • D. Douglas Spaulding
    Douglas Spaulding is the young boy protagonist of Ray Bradbury’s nostalgic novel "Dandelion Wine," through whose eyes the wonders and fears of small-town summer life are explored.
  • E. John Leahy
    John Leahy is a prominent American aircraft salesman best known for his long tenure as Airbus’s chief commercial officer, where he played a key role in making the company a global leader in commercial aviation.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7a4a448190aa70d66dc2f406c1 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aac9edc8190ab1740d23af1b250 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.