Triple

T20140334
Position Surface form Disambiguated ID Type / Status
Subject Miss Virginia E491145 entity
Predicate castMember P1668 FINISHED
Object Helen Hunt 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: Helen Hunt | Statement: [Miss Virginia, castMember, Helen Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Hunt
Context triple: [Miss Virginia, castMember, Helen Hunt]
  • A. Helen Hunt chosen
    Helen Hunt is an American actress and filmmaker best known for her Emmy-winning role on the sitcom "Mad About You" and her Academy Award-winning performance in the film "As Good as It Gets."
  • B. Debra Winger
    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."
  • C. Marcia Gay Harden
    Marcia Gay Harden is an American actress known for her versatile performances in film, television, and theater, including her Academy Award–winning role in "Pollock."
  • D. Illeana Douglas
    Illeana Douglas is an American actress, writer, and director known for her offbeat roles in independent films and collaborations with director Martin Scorsese.
  • E. Mary Steenburgen
    Mary Steenburgen is an American actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Melvin and Howard," "Back to the Future Part III," and numerous character-driven dramas and comedies.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66798d59c81908ebcd6644b1b3744 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.