Triple

T20575684
Position Surface form Disambiguated ID Type / Status
Subject Red Dust E505211 entity
Predicate castMember P1668 FINISHED
Object Hilary Swank 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: Hilary Swank | Statement: [Red Dust, castMember, Hilary Swank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hilary Swank
Context triple: [Red Dust, castMember, Hilary Swank]
  • A. Hilary Swank chosen
    Hilary Swank is an American actress and two-time Academy Award winner known for her intense, transformative performances in films such as "Boys Don't Cry" and "Million Dollar Baby."
  • B. Jessica Witherspoon
    Jessica Witherspoon is a fictional character known primarily as a member of Gus Witherspoon’s family in the television series "Our House."
  • C. Reese Witherspoon
    Reese Witherspoon is an American actress and producer known for her versatile roles in film and television, including "Legally Blonde," "Walk the Line," and "Big Little Lies."
  • D. Jennifer Kate Hudson
    Jennifer Kate Hudson is an American singer and Academy Award–winning actress who rose to fame on "American Idol" and is known for her powerful vocals and roles in films such as "Dreamgirls."
  • E. Amy Adams
    Amy Adams is an acclaimed American actress known for her versatility in both comedic and dramatic roles, including performances in films such as "Enchanted," "American Hustle," and "Arrival."
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a909785c8190a02b1195eadb384c completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.