Triple

T10004610
Position Surface form Disambiguated ID Type / Status
Subject Romee Strijd E198209 entity
Predicate hasWorkedFor P11675 FINISHED
Object Stella McCartney E43661 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: Stella McCartney | Statement: [Romee Strijd, hasWorkedFor, Stella McCartney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stella McCartney
Context triple: [Romee Strijd, hasWorkedFor, Stella McCartney]
  • A. Stella McCartney chosen
    Stella McCartney is a British fashion designer renowned for her sustainable, animal-free luxury clothing and accessories.
  • B. Jill Stuart
    Jill Stuart is an American fashion designer known for her contemporary, feminine clothing and accessories label popular on international runways.
  • C. Vivienne Westwood
    Vivienne Westwood was a pioneering British fashion designer known for shaping punk and new wave style and for her provocative, politically charged designs.
  • D. Tory Burch
    Tory Burch is an American fashion designer and businesswoman known for her eponymous lifestyle brand featuring preppy-bohemian clothing, accessories, and footwear.
  • E. Maria Grazia Chiuri
    Maria Grazia Chiuri is an Italian fashion designer known for being the first female creative director of Dior and for infusing the house’s collections with feminist themes and modern romanticism.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd141ec08190b857fe7e15a8df93 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28209678c8190898d923753bb4472 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:51 p.m.