Triple

T21463899
Position Surface form Disambiguated ID Type / Status
Subject Jack Goodman E529541 entity
Predicate warnsCharacter P2399 FINISHED
Object David Kessler 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: David Kessler | Statement: [Jack Goodman, warnsCharacter, David Kessler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Kessler
Context triple: [Jack Goodman, warnsCharacter, David Kessler]
  • A. David Kessler chosen
    David Kessler is the ill-fated American tourist who becomes a werewolf after a brutal attack in the horror-comedy film "An American Werewolf in London."
  • B. John Kahn
    John Kahn was an American bassist and producer best known for his long-running collaboration with Jerry Garcia across multiple projects.
  • C. Monte Jay Himmelbaum
    Monte Jay Himmelbaum, better known as Monte Hellman, was an American film director and producer acclaimed for his influential work in independent and cult cinema, particularly in the 1960s and 1970s.
  • D. Todd Lieberman
    Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
  • E. Robert D. Siegel
    Robert D. Siegel is an American screenwriter and director best known for writing character-driven dramas such as the film "The Wrestler."
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f100fc819093999018f7d78443 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.