Triple

T8860697
Position Surface form Disambiguated ID Type / Status
Subject Josephine Skriver E210879 entity
Predicate hasWorkedForBrand P11675 FINISHED
Object Michael Kors E40456 NE 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: Michael Kors | Statement: [Josephine Skriver, hasWorkedForBrand, Michael Kors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Kors
Context triple: [Josephine Skriver, hasWorkedForBrand, 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. Tory Burch
    Tory Burch is an American fashion designer and businesswoman known for her eponymous lifestyle brand featuring preppy-bohemian clothing, accessories, and footwear.
  • C. Donna Karan
    Donna Karan is an influential American fashion designer best known for founding the DKNY label and redefining modern women’s workwear with her sleek, versatile designs.
  • D. Kenneth Cole
    Kenneth Cole is an American fashion designer and entrepreneur best known for his eponymous footwear and lifestyle brand and socially conscious advertising campaigns.
  • E. Nicole Miller
    Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e712d08190bfb1c4ba3acaea90 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0b94f5481909902b5fa405a502f completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:50 p.m.