Triple

T18381473
Position Surface form Disambiguated ID Type / Status
Subject Frank Leahy Field E446457 entity
Predicate namedAfter P63 FINISHED
Object Frank Leahy NE NERFINISHED

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: [Frank Leahy Field, namedAfter, Frank Leahy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Leahy
Context triple: [Frank Leahy Field, namedAfter, 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 (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179b60f88190adf39e85375bd11b completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.