Triple

T21307903
Position Surface form Disambiguated ID Type / Status
Subject Michelle Dessler E525247 entity
Predicate hasColleague P398 FINISHED
Object Kim 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: Kim Bauer | Statement: [Michelle Dessler, hasColleague, Kim Bauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Bauer
Context triple: [Michelle Dessler, hasColleague, Kim Bauer]
  • A. Kim Bauer chosen
    Kim Bauer is a fictional character from the television series "24," known as the daughter of counterterrorism agent Jack Bauer and for frequently becoming entangled in the show's high-stakes crises.
  • B. Kim Myers
    Kim Myers is an American actress best known for her role in the horror film "A Nightmare on Elm Street 2: Freddy's Revenge."
  • C. Karen Maine
    Karen Maine is an American filmmaker and screenwriter known for her sharp, comedic explorations of female sexuality and religious upbringing, including the feature film "Yes, God, Yes."
  • D. Rachel Kane
    Rachel Kane is a key CIA operative and mission handler in the video game Call of Duty: Black Ops III, guiding and assisting the player throughout much of the campaign.
  • E. Beth Sully
    Beth Sully is known as the wife of American screenwriter and film producer Frank Butler.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aa7b2f08190bea46f0107bcc045 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:05 p.m.