Triple

T16567688
Position Surface form Disambiguated ID Type / Status
Subject 106th World Series E402503 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: [106th World Series, umpireCrewChief, John Hirschbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Hirschbeck
Context triple: [106th 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. Brian Healey
    Brian Healey is a relatively obscure individual whose specific public notability is not clearly established from the available information.
  • D. Tony Beckley
    Tony Beckley was a British character actor best known for his memorable villainous roles in films of the 1960s and 1970s, including the original version of The Italian Job.
  • E. Jonathan Hackett
    Jonathan Hackett is an actor best known for his role in Lars von Trier’s acclaimed 1996 drama film "Breaking the Waves."
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0091891c5081908f37598a17417c94 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:16 a.m.