Triple

T18974089
Position Surface form Disambiguated ID Type / Status
Subject Fred Clark E464245 entity
Predicate notableWork P4 FINISHED
Object The Jackpot 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: The Jackpot | Statement: [Fred Clark, notableWork, The Jackpot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Jackpot
Context triple: [Fred Clark, notableWork, The Jackpot]
  • A. The Jackpot chosen
    "The Jackpot" is a 1950 American comedy film starring James Stewart as a man whose life is upended after winning a radio quiz show’s massive prize haul.
  • B. Jackpot
    "Jackpot" is a lesser-known work of American author Erskine Caldwell, who is best recognized for his gritty depictions of Southern life and social issues.
  • C. Jackpot
    Jackpot is the costumed mascot of the Lake Elsinore Storm minor league baseball team, known for entertaining fans at games and community events.
  • D. Jackpot
    Jackpot is a small unincorporated casino and resort town in northeastern Nevada, known as a popular gambling destination near the Idaho border.
  • E. Jackpot
    "Jackpot" is a darkly comedic Norwegian crime thriller film known for its twisty plot and violent, absurdist humor.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61d7728819096f0baea75658a6a completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon