Triple

T18078559
Position Surface form Disambiguated ID Type / Status
Subject David Raksin E432623 entity
Predicate workedOn P3 FINISHED
Object Force of Evil 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: Force of Evil | Statement: [David Raksin, workedOn, Force of Evil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Force of Evil
Context triple: [David Raksin, workedOn, Force of Evil]
  • A. Force of Evil chosen
    Force of Evil is a 1948 American film noir crime drama, directed by Abraham Polonsky and starring John Garfield, that explores corruption and moral conflict within New York’s numbers racket.
  • B. Beyond Evil
    Beyond Evil is a critically acclaimed South Korean psychological crime thriller drama series centered on two detectives obsessively pursuing a serial killer in a small town.
  • C. Speak No Evil
    Speak No Evil is a landmark 1964 jazz album by saxophonist Wayne Shorter, celebrated for its sophisticated compositions and quintessential post-bop sound.
  • D. Speak No Evil
    Speak No Evil is a contemporary novel by Uzodinma Iweala that explores identity, sexuality, and cultural conflict through the story of a Nigerian-American teenager in Washington, D.C.
  • E. Touching Evil
    Touching Evil is a crime drama television series about an unconventional detective who returns to work after surviving a near-fatal shooting, using his unique perspective to track down dangerous criminals.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f6a85481909894c39c8be98d5d completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.