Triple

T18856398
Position Surface form Disambiguated ID Type / Status
Subject 24: The Game E461179 entity
Predicate featuresCharacter P626 FINISHED
Object Michelle Dessler 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: Michelle Dessler | Statement: [24: The Game, featuresCharacter, Michelle Dessler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Dessler
Context triple: [24: The Game, featuresCharacter, Michelle Dessler]
  • A. Michelle Dessler chosen
    Michelle Dessler is a fictional Counter Terrorist Unit analyst and later director on the television series "24," known for her intelligence, moral conviction, and complex relationship with Tony Almeida.
  • B. Danielle Lassner
    Danielle Lassner is the mother of television producer Andy Lassner, known for his work on "The Ellen DeGeneres Show."
  • C. Michelle Rausch
    Michelle Rausch is a fictional character from the romantic drama film "Two Lovers."
  • D. Amy Stechler
    Amy Stechler is an American documentary filmmaker and editor known for her early collaborations with Ken Burns on historical films.
  • E. Lisa Bluder
    Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
  • 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.