Triple

T22574115
Position Surface form Disambiguated ID Type / Status
Subject Kris Swanberg E544347 entity
Predicate castMemberOf P7010 FINISHED
Object Win It All 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: Win It All | Statement: [Kris Swanberg, castMemberOf, Win It All]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Win It All
Context triple: [Kris Swanberg, castMemberOf, Win It All]
  • A. Win It All chosen
    Win It All is a 2017 American indie dramedy film directed by Joe Swanberg, starring Jake Johnson as a small-time gambler whose life unravels after he mishandles a stash of illicit cash.
  • B. In It to Win It
    "In It to Win It" is a studio album by the American rock band Saliva, showcasing their hard rock and post-grunge sound.
  • C. Power to Win
    "Power to Win" is the official club song of the Port Adelaide Football Club in the Australian Football League.
  • D. Win and Win
    "Win and Win" is a song by Alanis Morissette from her 2012 album *Havoc and Bright Lights*, reflecting her characteristic introspective and emotionally candid songwriting style.
  • E. Everybody Wins
    Everybody Wins is a 1990 American mystery thriller film starring Debra Winger and Nick Nolte, centered on a private investigator drawn into a complex small-town corruption case.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fea683c81908fbf9f171eed3341 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.