Triple

T593914
Position Surface form Disambiguated ID Type / Status
Subject 2016 World Series E17335 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: [2016 World Series, umpireCrewChief, John Hirschbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Hirschbeck
Context triple: [2016 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. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • C. Chris Malachowsky
    Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
  • D. John Pleffer
    John Pleffer is an Australian architect best known as the husband of acclaimed film director Gillian Armstrong.
  • E. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd15c5881909b59ed4c88687e7b completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5a101108190897a066413a3b6a1 completed March 8, 2026, 5:45 p.m.
Created at: March 1, 2026, 7:33 p.m.