Triple

T6568536
Position Surface form Disambiguated ID Type / Status
Subject 1996 World Series E153973 entity
Predicate umpireCrewChief P6421 FINISHED
Object John Hirschbeck E136668 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: John Hirschbeck | Statement: [1996 World Series, umpireCrewChief, John Hirschbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Hirschbeck
Context triple: [1996 World Series, umpireCrewChief, John Hirschbeck]
  • A. John Hirschbeck chosen
    John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
  • B. Mark Hirschbeck
    Mark Hirschbeck is a former Major League Baseball umpire who worked in the National League and later MLB from the late 1980s through the early 2000s.
  • C. Michael Buckley
    Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
  • D. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • E. Aaron Hilmer
    Aaron Hilmer is a German actor best known internationally for his role in the 2022 adaptation of "All Quiet on the Western Front."
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae54afd4819091ee65aca1de60a9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723af5fa88190acd0c040cdf24f13 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 1:53 p.m.