Triple

T22821749
Position Surface form Disambiguated ID Type / Status
Subject David Ellefson E565249 entity
Predicate associatedAct P37 FINISHED
Object Killing Machine 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: Killing Machine | Statement: [David Ellefson, associatedAct, Killing Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killing Machine
Context triple: [David Ellefson, associatedAct, Killing Machine]
  • A. Killing Machine chosen
    "Killing Machine" is a 1978 heavy metal album by British band Judas Priest, known for helping define the genre’s classic sound and image.
  • B. Killing Machine
    Killing Machine is a film featuring American model and actress Margaux Hemingway in a prominent role.
  • C. Death Machine
    Death Machine is a 1994 British sci-fi horror film, known as Stephen Norrington’s directorial debut, featuring a lethal military robot running amok in a dystopian corporate setting.
  • D. Kill You
    "Kill You" is a controversial and aggressive rap song by Eminem from his acclaimed album "The Marshall Mathers LP."
  • E. Misery Machine
    Misery Machine is a song by Marilyn Manson from his debut studio album "Portrait of an American Family," known for its dark, industrial-influenced sound and provocative themes.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd11b048190869c0c8a0e3095d7 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.