Triple

T22032891
Position Surface form Disambiguated ID Type / Status
Subject Lyle Workman E544126 entity
Predicate notableWork P4 FINISHED
Object Win Win (score) 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 Win (score) | Statement: [Lyle Workman, notableWork, Win Win (score)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Win Win (score)
Context triple: [Lyle Workman, notableWork, Win Win (score)]
  • A. Win Win chosen
    Win Win is a 2011 indie dramedy film about a struggling attorney and high school wrestling coach who takes in a teenage runaway, featuring a critically acclaimed performance by Paul Giamatti.
  • B. 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.
  • C. Winning
    "Winning" is a bestselling management and leadership book by former General Electric CEO Jack Welch that offers practical advice on business strategy, people management, and corporate success.
  • D. Winning
    "Winning" is a popular rock song by Santana, known for its uplifting lyrics and melodic guitar-driven sound.
  • E. Winning
    Winning is a 1969 American sports drama film starring Paul Newman as a race car driver whose obsession with success strains his personal relationships.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ee84848190a22c24bf14498520 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.