Triple

T11813938
Position Surface form Disambiguated ID Type / Status
Subject Ann Dowd E280947 entity
Predicate notableWork P4 FINISHED
Object The Good Wife E219674 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: The Good Wife | Statement: [Ann Dowd, notableWork, The Good Wife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Good Wife
Context triple: [Ann Dowd, notableWork, The Good Wife]
  • A. The Good Wife chosen
    The Good Wife is a critically acclaimed American legal and political drama television series that follows a lawyer rebuilding her career and personal life after her husband's public scandal.
  • B. The Good Fight
    The Good Fight is a 1973 political memoir by Shirley Chisholm in which she reflects on her groundbreaking 1972 U.S. presidential campaign and her experiences as a pioneering Black congresswoman.
  • C. The Good Fight
    The Good Fight is a critically acclaimed American legal and political drama series that serves as a spin-off and sequel to The Good Wife, known for its sharp social commentary and strong ensemble cast.
  • D. Suits
    Suits is a popular American legal drama television series centered on a brilliant college dropout who works as a law associate despite never having attended law school.
  • E. How to Get Away with Murder
    How to Get Away with Murder is a legal thriller television series centered on a brilliant but morally ambiguous law professor and her students who become entangled in a complex murder plot.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5cba708819097467bb7aca7fc65 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131a01aa48190bf5a70759ac886f6 completed April 28, 2026, 10:16 p.m.
Created at: April 8, 2026, 9:42 p.m.