Triple

T14358280
Position Surface form Disambiguated ID Type / Status
Subject Bill Leavy E356028 entity
Predicate name P16 FINISHED
Object Bill Leavy E356028 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: Bill Leavy | Statement: [Bill Leavy, name, Bill Leavy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Leavy
Context triple: [Bill Leavy, name, Bill Leavy]
  • A. Bill Leavy chosen
    Bill Leavy was an American NFL official best known for serving as the referee in Super Bowl XL and for several controversial calls in that game.
  • B. Lepke
    Lepke was the underworld nickname of Louis Buchalter, a notorious American mobster and leader of the contract killing organization Murder, Inc.
  • C. Mickey Cohen
    Mickey Cohen was a notorious mid-20th-century Los Angeles mobster and former associate of Bugsy Siegel who became a prominent figure in organized crime on the West Coast.
  • D. Terry Malloy
    Terry Malloy is the conflicted ex-boxer and longshoreman protagonist of the film "On the Waterfront," known for his moral struggle against corruption and his iconic "I coulda been a contender" speech.
  • E. Tito Burns
    Tito Burns was a British accordionist-turned-music manager and agent who became a prominent figure in the UK entertainment industry from the 1950s onward.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f52ca7881908704eef20228aed3 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c48dd408190ac45ad4ca6f610c3 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.