Triple

T25511501
Position Surface form Disambiguated ID Type / Status
Subject Nicole Bonnet E639392 entity
Predicate portrayedByInLanguageVersion P1507 FINISHED
Object Audrey Hepburn in original English version LITERAL 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: Audrey Hepburn in original English version | Statement: [Nicole Bonnet, portrayedByInLanguageVersion, Audrey Hepburn in original English version]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayedByInLanguageVersion
Context triple: [Nicole Bonnet, portrayedByInLanguageVersion, Audrey Hepburn in original English version]
  • A. portrayedBy chosen
    Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
  • B. currentlySpokenBy
    Indicates that a language is presently being used as a spoken language by a person or group.
  • C. portrayedVia
    Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
  • D. portrayedByAlsoKnownFor
    Indicates that an entity is portrayed by a person who is also notably known for another specific role or work.
  • E. playedBy
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • F. None of above.

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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c1f94ac8190bc6fbc7916fc0d82 completed May 2, 2026, 8:18 p.m.
Created at: April 21, 2026, 2:49 p.m.