Triple

T19695828
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Greensburg E472955 entity
Predicate currentOrdinary P26770 FINISHED
Object Larry J. Kulick 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: Larry J. Kulick | Statement: [Diocese of Greensburg, currentOrdinary, Larry J. Kulick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry J. Kulick
Context triple: [Diocese of Greensburg, currentOrdinary, Larry J. Kulick]
  • A. Larry J. Kulick chosen
    Larry J. Kulick is an American Roman Catholic prelate who serves as the bishop of the Diocese of Greensburg in Pennsylvania.
  • B. Larry Kellner
    Larry Kellner is an American business executive best known for leading Continental Airlines as its chief executive officer.
  • C. Mort Briskin
    Mort Briskin was a screenwriter known for his work on mid-20th-century American films, including the crime drama "A Man Alone."
  • D. Ken Koblun
    Ken Koblun is a Canadian bassist best known for his early involvement with the influential 1960s rock band Buffalo Springfield.
  • E. Larry Kehres
    Larry Kehres is a highly successful American college football coach best known for leading the University of Mount Union to multiple NCAA Division III national championships and establishing one of the most dominant programs in the sport’s history.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642147c3c8190a4c788e4bb48fe11 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.