Triple

T19386768
Position Surface form Disambiguated ID Type / Status
Subject Women Talking E484955 entity
Predicate castMember P1668 FINISHED
Object Judith Ivey 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: Judith Ivey | Statement: [Women Talking, castMember, Judith Ivey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judith Ivey
Context triple: [Women Talking, castMember, Judith Ivey]
  • A. Judith Ivey chosen
    Judith Ivey is an American actress and director known for her Tony Award–winning stage performances and numerous roles in film and television.
  • B. Jane Alexander
    Jane Alexander is an acclaimed American actress and former chair of the National Endowment for the Arts, known for her extensive work in film, television, and theater.
  • C. Shirley Knight
    Shirley Knight was an acclaimed American actress known for her versatile performances in film, television, and theater, earning multiple award nominations and wins throughout her career.
  • D. Frances Fisher
    Frances Fisher is an English-born American actress known for her versatile character roles in film and television, including her portrayal of Ruth DeWitt Bukater in Titanic.
  • E. Diane Baker
    Diane Baker is an American actress and producer known for her work in film and television since the late 1950s, including roles in classics like "The Diary of Anne Frank" and "Marnie."
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.