Triple

T14552369
Position Surface form Disambiguated ID Type / Status
Subject Shirley (2020 film) E341449 entity
Predicate producer P490 FINISHED
Object Sue Naegle 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: Sue Naegle | Statement: [Shirley (2020 film), producer, Sue Naegle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Naegle
Context triple: [Shirley (2020 film), producer, Sue Naegle]
  • A. Sue Naegle chosen
    Sue Naegle is an American television executive and producer best known for her tenure as president of HBO Entertainment and for founding the production company Naegle Ink.
  • B. Sue Gunter
    Sue Gunter was a Hall of Fame American women’s basketball coach best known for her long, successful tenure leading major collegiate programs and elevating the profile of the women’s game.
  • C. Vicki Sirotta
    Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
  • D. Sue Ellen Mischke
    Sue Ellen Mischke is a recurring Seinfeld character known as Elaine Benes's braless, heiress rival who often appears in provocative outfits that cause comic chaos.
  • E. Suzanne Kilpatrick
    Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ee34208190bf040a513767c958 completed April 14, 2026, 9:34 p.m.
Created at: April 10, 2026, 1:23 a.m.