Triple

T13718321
Position Surface form Disambiguated ID Type / Status
Subject Jesus Piece E328959 entity
Predicate hasPart P35 FINISHED
Object See No Evil E893863 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: See No Evil | Statement: [Jesus Piece, hasPart, See No Evil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: See No Evil
Context triple: [Jesus Piece, hasPart, See No Evil]
  • A. See No Evil chosen
    See No Evil is a 2006 horror film produced by WWE Studios, starring professional wrestler Kane as a brutal serial killer terrorizing a group of delinquents in an abandoned hotel.
  • B. 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.
  • C. 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.
  • D. See No Evil, Hear No Evil
    See No Evil, Hear No Evil is a 1989 comedy film starring Richard Pryor and Gene Wilder as a blind man and a deaf man who become unwittingly entangled in a murder investigation.
  • E. Force of Evil
    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.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5a23bc8190942568658665bbb0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.