Triple

T17065776
Position Surface form Disambiguated ID Type / Status
Subject Billie Frechette E414082 entity
Predicate partner P1136 FINISHED
Object John Dillinger E102777 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: John Dillinger | Statement: [Billie Frechette, partner, John Dillinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dillinger
Context triple: [Billie Frechette, partner, John Dillinger]
  • A. John Dillinger chosen
    John Dillinger was a notorious American bank robber and Depression-era outlaw who became a legendary figure in early 1930s crime history.
  • B. 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.
  • C. Dillinger
    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.
  • D. 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.
  • E. Joan Dillinger
    Joan Dillinger is a fictional character who appears in the thriller novel "Split Second."
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db8171348190ab68d2e4f05f7120 completed April 18, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139f346f0819094a430a11e361bac completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:34 a.m.