Triple

T15691837
Position Surface form Disambiguated ID Type / Status
Subject Legal Eagles E380348 entity
Predicate leadActress P6108 FINISHED
Object Debra Winger E210924 NE FINISHED

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: Debra Winger | Statement: [Legal Eagles, leadActress, Debra Winger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debra Winger
Context triple: [Legal Eagles, leadActress, Debra Winger]
  • A. Debra Winger chosen
    Debra Winger is an American actress acclaimed for her intense, emotionally rich performances in films such as "An Officer and a Gentleman," "Terms of Endearment," and "Shadowlands."
  • B. Catherine Cusack
    Catherine Cusack is an Irish actress known for her work in theatre, film, and television, and as a member of the prominent Cusack acting family.
  • C. Kathleen Turner
    Kathleen Turner is an American actress known for her distinctive husky voice and leading roles in 1980s films such as "Body Heat," "Romancing the Stone," and "Peggy Sue Got Married."
  • D. Annabella Sciorra
    Annabella Sciorra is an American actress known for her work in film and television, including acclaimed roles in movies like "Jungle Fever" and the TV series "The Sopranos."
  • E. Jill Clayburgh
    Jill Clayburgh was an American actress acclaimed for her intelligent, nuanced performances in 1970s and 1980s films, including multiple Academy Award–nominated roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0335a0c8190ade4c2f78df3d113 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:44 a.m.