Triple

T20071666
Position Surface form Disambiguated ID Type / Status
Subject Gigi Hadid E499752 entity
Predicate hasModeledFor P17880 FINISHED
Object Michael Kors 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: Michael Kors | Statement: [Gigi Hadid, hasModeledFor, Michael Kors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kors
Context triple: [Gigi Hadid, hasModeledFor, Michael Kors]
  • A. Michael Kors chosen
    Michael Kors is an American fashion designer best known for his eponymous luxury brand specializing in ready-to-wear clothing, accessories, and handbags.
  • B. Michael Kors Holdings Limited
    Michael Kors Holdings Limited was the original corporate name of the global fashion company now known as Capri Holdings Limited, owner of luxury brands such as Michael Kors.
  • C. Tory Burch
    Tory Burch is an American fashion designer and businesswoman known for her eponymous lifestyle brand featuring preppy-bohemian clothing, accessories, and footwear.
  • D. Bill Blass
    Bill Blass was an influential American fashion designer known for his elegant, tailored womenswear and high-profile collaborations with major brands.
  • E. Jill Stuart
    Jill Stuart is an American fashion designer known for her contemporary, feminine clothing and accessories label popular on international runways.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.