Triple

T32544493
Position Surface form Disambiguated ID Type / Status
Subject Never Enough E831802 entity
Predicate performedBy (on-screen actress) P135457 FINISHED
Object Rebecca Ferguson 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: Rebecca Ferguson | Statement: [Never Enough, performedBy (on-screen actress), Rebecca Ferguson]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: performedBy (on-screen actress)
Context triple: [Never Enough, performedBy (on-screen actress), Rebecca Ferguson]
  • A. performedOnScreenBy chosen
    Indicates that an action, role, or performance is carried out by one entity in an on-screen context involving another entity.
  • B. portrayedBy
    Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
  • C. performedForCharacterPortrayedBy
    Indicates that an action or performance was carried out for the benefit of a fictional character as portrayed by a specific actor.
  • D. playedBy
    Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
  • E. performerCreditedAs
    Indicates that a performer is associated with a work under a specific credited name or alias.
  • 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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe12a899d4819080d48423f32eace9 completed May 8, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69fe0d7f6aa08190a1d2dfc025d4e0dc completed May 8, 2026, 4:21 p.m.
Created at: May 1, 2026, 1:02 a.m.