Triple

T18321609
Position Surface form Disambiguated ID Type / Status
Subject Joyce Piven E438893 entity
Predicate child P120 FINISHED
Object Shira Piven 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: Shira Piven | Statement: [Joyce Piven, child, Shira Piven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shira Piven
Context triple: [Joyce Piven, child, Shira Piven]
  • A. Lisa Edelstein
    Lisa Edelstein is an American actress and writer best known for her role as Dr. Lisa Cuddy on the television series "House" and for prominent performances in various film and TV dramas and comedies.
  • B. Rachel Margulies
    Rachel Margulies is an individual notable enough to be specifically cited as a bearer of the Margulies surname.
  • C. Joyce Piven chosen
    Joyce Piven is an American acting teacher, director, and co-founder of the Piven Theatre Workshop, known for training numerous prominent actors including her son Jeremy Piven.
  • D. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • E. Ronit Matalon
    Ronit Matalon was an Israeli author known for her innovative Hebrew prose that explored themes of identity, family, and Mizrahi experience in contemporary Israeli society.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa7be288190983f13e9c7061b6d completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.