Triple

T12357759
Position Surface form Disambiguated ID Type / Status
Subject Analyze That E294654 entity
Predicate producer P490 FINISHED
Object Paula Weinstein E296746 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: Paula Weinstein | Statement: [Analyze That, producer, Paula Weinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paula Weinstein
Context triple: [Analyze That, producer, Paula Weinstein]
  • A. Paula Weinstein chosen
    Paula Weinstein was an American film producer and studio executive known for overseeing acclaimed dramas and major Hollywood productions.
  • B. Nancy Lieberman
    Nancy Lieberman is a pioneering American basketball player and coach, widely regarded as one of the greatest figures in women's basketball history and a trailblazer for women in the sport.
  • 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. Barbara Rubin
    Barbara Rubin was an experimental filmmaker and performance artist of the 1960s New York underground scene, known for her avant-garde work and collaborations with figures like Andy Warhol and the Velvet Underground.
  • E. Rose Kaufman
    Rose Kaufman was an American screenwriter and collaborator, known for co-writing films with her husband, director Philip Kaufman.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8e64dc81908c2242c68cd1b86e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab4cdec8190849604ef2ec498ba completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.