Triple

T6129281
Position Surface form Disambiguated ID Type / Status
Subject John Hirschbeck E136668 entity
Predicate relative P37 FINISHED
Object Mark Hirschbeck E572790 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: Mark Hirschbeck | Statement: [John Hirschbeck, relative, Mark Hirschbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Hirschbeck
Context triple: [John Hirschbeck, relative, Mark Hirschbeck]
  • A. Mark Hirschbeck chosen
    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.
  • B. John Hirschbeck
    John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
  • C. Scott Ehrlich
    Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
  • D. 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.
  • E. Jonathan Hager
    Jonathan Hager was an 18th-century German immigrant, landowner, and founder of Hagerstown, Maryland.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4c8570819096dc87f0de2a9887 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ec6b6648190801da4781246c27e completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:15 p.m.