Triple

T20879243
Position Surface form Disambiguated ID Type / Status
Subject John Dillinger E514099 entity
Predicate familyName P18 FINISHED
Object Dillinger 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: Dillinger | Statement: [John Dillinger, familyName, Dillinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dillinger
Context triple: [John Dillinger, familyName, Dillinger]
  • A. Dillinger chosen
    Dillinger is a Jamaican reggae and dancehall deejay best known for his 1976 hit "Cocaine in My Brain" and his influential role in the 1970s DJ-toasting scene.
  • B. François Dillinger
    François Dillinger is the rebellious, troublemaking alter ego of shy teenager Nick Twisp in the comedy film "Youth in Revolt."
  • C. Ed Dillinger
    Ed Dillinger is the primary corporate antagonist in the 1982 science fiction film "Tron," serving as a high-ranking executive at ENCOM who benefits from the villainous Master Control Program.
  • D. John Dillinger
    John Dillinger was a notorious American bank robber and Depression-era outlaw who became a legendary figure in early 1930s crime history.
  • E. George "Machine Gun" Kelly
    George "Machine Gun" Kelly was a notorious American gangster and Prohibition-era kidnapper whose high-profile crimes made him one of the early public enemies of the 1930s.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c678b394819096a17de9e04cd74f completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.