Triple

T8065141
Position Surface form Disambiguated ID Type / Status
Subject Yehuda Bauer E188224 entity
Predicate familyName P18 FINISHED
Object Bauer E467448 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: Bauer | Statement: [Yehuda Bauer, familyName, Bauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bauer
Context triple: [Yehuda Bauer, familyName, Bauer]
  • A. Bauer chosen
    Bauer is a leading ice hockey equipment manufacturer best known for its skates, sticks, and protective gear used by professional and amateur players worldwide.
  • B. Bauer Brothers
    Bauer Brothers is a business enterprise that employs Allen Bauer, likely a family-owned company associated with the Bauer family.
  • C. Brandt
    Brandt is the obsequious personal assistant to the wealthy Jeffrey Lebowski in the cult film "The Big Lebowski," often serving as a nervous intermediary between him and the Dude.
  • D. Schaffner
    Schaffner is a surname most notably associated with Franklin J. Schaffner, the Academy Award–winning American film director of works such as "Patton" and "Planet of the Apes."
  • E. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff5547c8190a7ec5958a23e302f completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63de88fc8190ac2c46edca324cec completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:26 p.m.