Triple

T16315744
Position Surface form Disambiguated ID Type / Status
Subject Counter Terrorist Unit E396168 entity
Predicate employerOf P7 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: [Counter Terrorist Unit, employerOf, Michelle Dessler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Dessler
Context triple: [Counter Terrorist Unit, employerOf, 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. Amy Stechler
    Amy Stechler is an American documentary filmmaker and editor known for her early collaborations with Ken Burns on historical films.
  • D. 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.
  • E. June Preisser
    June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b1e9988190a1dce9f1ed7031df completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:06 a.m.