Triple

T7450270
Position Surface form Disambiguated ID Type / Status
Subject Mildred Pierce (1945 film) E171989 entity
Predicate editedBy P1954 FINISHED
Object David Weisbart E231635 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: David Weisbart | Statement: [Mildred Pierce (1945 film), editedBy, David Weisbart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Weisbart
Context triple: [Mildred Pierce (1945 film), editedBy, David Weisbart]
  • A. David Weisbart chosen
    David Weisbart was an American film editor and producer best known for his work on influential mid-20th-century Hollywood dramas and youth-oriented films.
  • B. David Weisberg
    David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
  • C. Philip Bruns
    Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
  • D. Robert Weinbach
    Robert Weinbach is a film producer known for his work on independent genre movies, including the 2012 horror film "Shiver."
  • E. Daniel Ullman
    Daniel Ullman was an American screenwriter known for his work on mid-20th-century genre films, particularly Westerns and thrillers.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38af3fc8190bc5c57ca89d976bc completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c57e1d0819081562638236debce completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:14 p.m.