Triple

T22996750
Position Surface form Disambiguated ID Type / Status
Subject After Goya E572216 entity
Predicate partOfPracticeOf P84475 FINISHED
Object Vik Muniz’s series reinterpreting canonical artworks 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: Vik Muniz’s series reinterpreting canonical artworks | Statement: [After Goya, partOfPracticeOf, Vik Muniz’s series reinterpreting canonical artworks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfPracticeOf
Context triple: [After Goya, partOfPracticeOf, Vik Muniz’s series reinterpreting canonical artworks]
  • A. partOfProfessionalPracticeOf chosen
    Indicates that something is a component or integral element of a particular professional’s regular practice or work activities.
  • B. placeOfPractice
    Indicates the location where an individual or organization regularly carries out their professional activities or services.
  • C. periodOfPractice
    Indicates the span of time during which an activity, role, or practice is carried out.
  • D. settingOfPractice
    Indicates the context or environment in which a particular practice, activity, or procedure is carried out.
  • E. followedPracticeOf
    Indicates that one entity adopted, adhered to, or modeled its behavior, methods, or customs after the established practices of another entity.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f3186c81909e0d5177029a72ae completed April 29, 2026, 4:02 a.m.
PD Predicate disambiguation batch_69ef3b974e7c8190b8be11dbb4518693 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:50 p.m.