Triple

T22088069
Position Surface form Disambiguated ID Type / Status
Subject Catherine Krouse Bauer E545836 entity
Predicate familyName P18 FINISHED
Object Bauer NE NERFINISHED

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: [Catherine Krouse Bauer, familyName, Bauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bauer
Context triple: [Catherine Krouse Bauer, familyName, Bauer]
  • A. Bauer
    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 chosen
    Bauer is a German occupational surname historically given to farmers or peasants and now borne by many people worldwide.
  • C. Bauer
    Bauer is a small unincorporated community located within Blendon Township in Ottawa County, Michigan.
  • D. Bauer Brothers
    Bauer Brothers is a business enterprise that employs Allen Bauer, likely a family-owned company associated with the Bauer family.
  • E. Hauerland
    Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e3a98481908a7b3dc3f2a90276 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.