Triple

T7230461
Position Surface form Disambiguated ID Type / Status
Subject BlacKkKlansman E154886 entity
Predicate characterPortrayed P1507 FINISHED
Object Flip Zimmerman E650627 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: Flip Zimmerman | Statement: [BlacKkKlansman, characterPortrayed, Flip Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flip Zimmerman
Context triple: [BlacKkKlansman, characterPortrayed, Flip Zimmerman]
  • A. Flip Zimmerman chosen
    Flip Zimmerman is a fictional Jewish detective in the film "BlacKkKlansman" who infiltrates the Ku Klux Klan by posing as the protagonist’s stand-in.
  • B. Joey Zimmerman
    Joey Zimmerman is an American actor best known for playing Dylan Piper in Disney Channel’s "Halloweentown" film series.
  • C. Zane Weiner
    Zane Weiner is a film producer best known for his work on major fantasy epics, including Peter Jackson’s The Hobbit film series.
  • D. Don Zimmerman
    Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
  • E. John Zaccaro
    John Zaccaro is an American real estate developer best known as the husband of the late U.S. Congresswoman and 1984 vice-presidential nominee Geraldine Ferraro.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea0d9b6c8190a0b5f0ab8d5cca19 completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d388ac40819095698776c7b9878f completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:54 p.m.