Triple

T17890127
Position Surface form Disambiguated ID Type / Status
Subject Barefoot E447292 entity
Predicate producer P490 FINISHED
Object Janet Zucker 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: Janet Zucker | Statement: [Barefoot, producer, Janet Zucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Zucker
Context triple: [Barefoot, producer, Janet Zucker]
  • A. Janet Zucker chosen
    Janet Zucker is an American film producer known for her work on movies such as "Rat Race" and for her long-time collaboration and marriage with director Jerry Zucker.
  • B. Janet Benshoof
    Janet Benshoof was an American human rights lawyer and prominent reproductive rights advocate known for her pioneering legal work on abortion access and women's equality worldwide.
  • C. Janet Margolin
    Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
  • D. Jane Weinzapfel
    Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
  • E. Barbara Zucker
    Barbara Zucker is a philanthropist whose significant contributions to medical education are recognized through the naming of the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7828b481909b645fceb37a7ca3 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:18 a.m.