Triple

T18856208
Position Surface form Disambiguated ID Type / Status
Subject Kim Bauer E461175 entity
Predicate mother P120 FINISHED
Object Teri 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: Teri Bauer | Statement: [Kim Bauer, mother, Teri Bauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teri Bauer
Context triple: [Kim Bauer, mother, Teri Bauer]
  • A. Teri Bauer chosen
    Teri Bauer is a fictional character from the television series "24," known as Jack Bauer's wife and a central figure in the show's first season storyline.
  • B. Denise Bauer
    Denise Bauer is a fictional attorney character from the television series "Boston Legal," portrayed by actress Julie Bowen.
  • C. Teri Weinberg
    Teri Weinberg is a television producer best known for her work on hit series such as "Ugly Betty" and for her executive roles at major production companies.
  • D. Kimberly Schlapman
    Kimberly Schlapman is an American country singer best known as a founding member and vocalist of the Grammy-winning group Little Big Town.
  • E. Elaine Madsen
    Elaine Madsen is an American filmmaker, producer, and Emmy Award–winning documentarian, also known as the mother of actor Michael Madsen.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05d0bb8819094d0447441f85b57 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.