Triple

T20403156
Position Surface form Disambiguated ID Type / Status
Subject Killer Force E500388 entity
Predicate editedBy P1954 FINISHED
Object John Trumper 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: John Trumper | Statement: [Killer Force, editedBy, John Trumper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Trumper
Context triple: [Killer Force, editedBy, John Trumper]
  • A. John Trumper chosen
    John Trumper is a film editor best known for his work on notable movies such as "The Italian Job."
  • B. Fred Trumper
    Fred Trumper is the hapless, self-sabotaging graduate student and chronic liar at the center of John Irving’s comic novel "The Water-Method Man," known for his romantic misadventures and fear of commitment.
  • C. Frederick Trumper
    Frederick Trumper is a central character in the musical "Chess," an American chess grandmaster whose turbulent personal life and romantic entanglements intertwine with Cold War politics.
  • D. Johnny Worricker
    Johnny Worricker is a seasoned, quietly principled MI5 intelligence officer whose moral dilemmas drive the British political thriller film "Page Eight."
  • E. Denzil Keelor
    Denzil Keelor is a retired Indian Air Force Air Marshal and decorated fighter pilot known for his valor and leadership, particularly during the 1965 and 1971 Indo-Pak wars.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6799080cc819096dc31f41d1d7b49 completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.