Triple

T18112736
Position Surface form Disambiguated ID Type / Status
Subject What Women Want E433520 entity
Predicate screenwriter P2831 FINISHED
Object Cathy Yuspa 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: Cathy Yuspa | Statement: [What Women Want, screenwriter, Cathy Yuspa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cathy Yuspa
Context triple: [What Women Want, screenwriter, Cathy Yuspa]
  • A. Cathy Yuspa chosen
    Cathy Yuspa is an American screenwriter best known for co-writing the popular romantic comedy film "13 Going on 30."
  • B. Gail Mutrux
    Gail Mutrux is an American film producer known for her work on acclaimed dramas such as "News of the World" and "Donnie Brasco."
  • C. Diane Nemerov
    Diane Nemerov, better known as Diane Arbus, was an influential American photographer renowned for her intimate, often unsettling portraits of marginalized and unconventional subjects.
  • D. Shirley Blumberg
    Shirley Blumberg is a Canadian architect and co-founder of the acclaimed Toronto-based firm KPMB Architects, recognized for her contributions to contemporary urban and cultural architecture.
  • E. Marcia Strassman
    Marcia Strassman was an American actress best known for her roles in the sitcom "Welcome Back, Kotter" and the "Honey, I Shrunk the Kids" film series.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.