Triple

T20806557
Position Surface form Disambiguated ID Type / Status
Subject Out of the Game E512171 entity
Predicate hasTrack P3284 FINISHED
Object Perfect Man 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: Perfect Man | Statement: [Out of the Game, hasTrack, Perfect Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perfect Man
Context triple: [Out of the Game, hasTrack, Perfect Man]
  • A. Perfect Man chosen
    Perfect Man is a short story by J. G. Ballard that explores themes of identity, consumerism, and the commodification of human perfection.
  • B. Perfect Man
    The Perfect Man is a central Sufi metaphysical concept describing the fully realized human who perfectly reflects divine attributes and serves as the spiritual axis of creation.
  • C. A Perfect Man
    A Perfect Man is a romantic drama film featuring Jeanne Tripplehorn that explores the fallout of infidelity and the complexities of marriage.
  • D. The Perfect Man
    "The Perfect Man" is a work by author Peter Abrams, likely a novel that explores themes of idealized masculinity and personal relationships.
  • E. The Perfect Man
    The Perfect Man is a 2005 romantic comedy film about a teenage girl who invents a secret admirer to boost her single mother's confidence, starring Hilary Duff and Heather Locklear.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cfdee481908e42a1a8940ea40c completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.