Triple

T13997758
Position Surface form Disambiguated ID Type / Status
Subject Boston Legal E336744 entity
Predicate mainCharacter P1183 FINISHED
Object Denise Bauer E690632 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: Denise Bauer | Statement: [Boston Legal, mainCharacter, Denise Bauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise Bauer
Context triple: [Boston Legal, mainCharacter, Denise Bauer]
  • A. Denise Bauer chosen
    Denise Bauer is a fictional attorney character from the television series "Boston Legal," portrayed by actress Julie Bowen.
  • B. Denise Huth
    Denise Huth is a television producer best known for her long-running work as an executive producer on AMC’s The Walking Dead franchise and its related spin-offs.
  • C. Denise Bryer
    Denise Bryer is a British voice actress best known for her work on classic children's television series such as "The Adventures of Twizzle" and "Terrahawks."
  • D. Denise Lakofski
    Denise Lakofski, better known as Denise Scott Brown, is a pioneering architect, urban planner, and theorist whose work and writings have profoundly influenced postmodern architecture and urban design.
  • E. Denise Nickerson
    Denise Nickerson was an American actress best known for playing Violet Beauregarde in the 1971 film "Willy Wonka & the Chocolate Factory."
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb75ea708190a30153c76cde8e79 completed May 10, 2026, 2:20 a.m.
Created at: April 9, 2026, 10:19 p.m.