Triple

T18819764
Position Surface form Disambiguated ID Type / Status
Subject DKNY E460233 entity
Predicate hasBrand P1500 FINISHED
Object Donna Karan New York 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: Donna Karan New York | Statement: [DKNY, hasBrand, Donna Karan New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Karan New York
Context triple: [DKNY, hasBrand, Donna Karan New York]
  • A. Donna Karan chosen
    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.
  • B. Liz Claiborne
    Liz Claiborne was a pioneering American fashion designer and businesswoman who founded the Liz Claiborne Inc. brand, becoming one of the first female CEOs of a Fortune 500 company.
  • C. Anne Klein
    Anne Klein was an influential American fashion designer known for pioneering sophisticated, ready-to-wear sportswear for women and founding the Anne Klein brand.
  • D. Kate Spade
    Kate Spade was an American fashion designer and businesswoman best known for her colorful, playful handbags and for founding the Kate Spade New York brand.
  • E. Proenza Schouler
    Proenza Schouler is a New York–based luxury fashion label known for its modern, refined womenswear and innovative tailoring.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b8b7d88190a8828746176776ea completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.