Triple

T15678573
Position Surface form Disambiguated ID Type / Status
Subject David Mimran E377509 entity
Predicate notableWork P4 FINISHED
Object The Perfect Guy (2015 film) E356035 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 Perfect Guy (2015 film) | Statement: [David Mimran, notableWork, The Perfect Guy (2015 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Perfect Guy (2015 film)
Context triple: [David Mimran, notableWork, The Perfect Guy (2015 film)]
  • A. The Perfect Guy chosen
    The Perfect Guy is a 2015 psychological thriller film about a woman whose seemingly ideal new boyfriend becomes dangerously obsessive and violent.
  • B. 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.
  • C. Perfect Man
    Perfect Man is a short story by J. G. Ballard that explores themes of identity, consumerism, and the commodification of human perfection.
  • D. 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.
  • E. A Perfect Fit (film)
    A Perfect Fit is a romantic drama film featuring Adrian Grenier that explores the complexities of love, relationships, and personal fulfillment.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2f1640819086efd5a73bb9734a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee0446881909e9c2504d51d49a3 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.