Triple

T7191351
Position Surface form Disambiguated ID Type / Status
Subject Michael Winner E167698 entity
Predicate notableWork P4 FINISHED
Object Death Wish E420837 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: Death Wish | Statement: [Michael Winner, notableWork, Death Wish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Death Wish
Context triple: [Michael Winner, notableWork, Death Wish]
  • A. Death Wish chosen
    "Death Wish" is a 1974 vigilante action film starring Charles Bronson as a New York architect who becomes a violent avenger after his family is attacked.
  • B. The Killer
    The Killer is the famous nickname of rock and roll pioneer Jerry Lee Lewis, known for his wild piano performances and energetic stage presence.
  • C. The Capital Punisher
    The Capital Punisher is the nickname of Frank Howard, a towering power-hitting Major League Baseball slugger best known for his time with the Washington Senators in the 1960s and early 1970s.
  • D. Kiss of Death
    Kiss of Death is a 1947 American film noir crime drama best known for its gritty realism and Richard Widmark’s chilling debut performance as a sadistic villain.
  • E. Seven Days to a Killing
    Seven Days to a Killing is a 1972 spy thriller novel by Clive Egleton, centered on a British intelligence officer whose son is kidnapped as part of a high-stakes blackmail plot.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e90087208190a65e49ae0e8a7cbf completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b95c671c8190bf75b5807c6c320c completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:50 p.m.