Triple

T11181703
Position Surface form Disambiguated ID Type / Status
Subject Adorn (Remix) E264554 entity
Predicate hasProductionVariations P92195 FINISHED
Object yes 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: yes | Statement: [Adorn (Remix), hasProductionVariations, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProductionVariations
Context triple: [Adorn (Remix), hasProductionVariations, yes]
  • A. hasServiceVariations
    Indicates that a service is offered in multiple distinct versions, options, or configurations that differ in some defined characteristics.
  • B. hasCommercialVariant chosen
    Indicates that an entity has a related version that is produced, marketed, or sold commercially.
  • C. hasVarietyOf
    Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
  • D. hasVariability
    Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
  • E. hasVariant
    Indicates that one entity exists as an alternative form, version, or variation 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a7f35481909f35feb94ef10e80 completed April 9, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69d75cf4461c8190af84060f7db83211 completed April 9, 2026, 8:01 a.m.
Created at: April 8, 2026, 9:29 p.m.