Triple

T12499362
Position Surface form Disambiguated ID Type / Status
Subject Patricia Medina E298776 entity
Predicate notableWork P4 FINISHED
Object The Jackpot E791247 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: The Jackpot | Statement: [Patricia Medina, notableWork, The Jackpot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Jackpot
Context triple: [Patricia Medina, 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 small unincorporated casino and resort town in northeastern Nevada, known as a popular gambling destination near the Idaho border.
  • C. Jackpot
    "Jackpot" is a darkly comedic Norwegian crime thriller film known for its twisty plot and violent, absurdist humor.
  • D. Jackpot
    Jackpot is the costumed mascot of the Lake Elsinore Storm minor league baseball team, known for entertaining fans at games and community events.
  • E. Jackpot
    "Jackpot" is the debut studio album by American rapper Chingy, known for its hit singles and commercial success in the early 2000s hip-hop scene.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb131608190b34a07a7026b160e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.