Triple

T8690328
Position Surface form Disambiguated ID Type / Status
Subject Miranda Kerr E206269 entity
Predicate modeledFor P2006 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: [Miranda Kerr, modeledFor, Stella McCartney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stella McCartney
Context triple: [Miranda Kerr, modeledFor, Stella McCartney]
  • A. Stella McCartney chosen
    Stella McCartney is a British fashion designer renowned for her sustainable, animal-free luxury clothing and accessories.
  • B. 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.
  • 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. 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.
  • E. Dries Van Noten
    Dries Van Noten is a Belgian fashion designer renowned for his eclectic use of prints, rich fabrics, and sophisticated, artful tailoring.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5734602c81909a0687e00f4a4a26 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3df73b88190b67138ee5129de8b completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.