Triple

T15593376
Position Surface form Disambiguated ID Type / Status
Subject Bill Cayton E374805 entity
Predicate coManagedWith P13336 FINISHED
Object Jim Jacobs E289972 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: Jim Jacobs | Statement: [Bill Cayton, coManagedWith, Jim Jacobs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Jacobs
Context triple: [Bill Cayton, coManagedWith, Jim Jacobs]
  • A. Jim Jacobs chosen
    Jim Jacobs was an American boxing manager and handball champion best known for managing heavyweight champion Mike Tyson during the early part of his professional career.
  • B. Jim Jacobs
    Jim Jacobs is an American musical theatre composer, lyricist, and writer best known as the co-creator of the hit musical "Grease."
  • C. Lou Jacobi
    Lou Jacobi was a Canadian-born character actor known for his comedic roles in film, television, and theater, particularly in mid-20th-century Hollywood and Broadway productions.
  • D. Michael Lieber
    Michael Lieber is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • E. Janno Lieber
    Janno Lieber is an American public official and transportation executive who leads New York’s Metropolitan Transportation Authority, overseeing the city’s vast subway, bus, and commuter rail systems.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c7db58819089cb488fb3ea96cd completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.