Triple

T10047764
Position Surface form Disambiguated ID Type / Status
Subject Sara Sampaio E207659 entity
Predicate hasWorkedForBrand P11675 FINISHED
Object Jeremy Scott E454751 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: Jeremy Scott | Statement: [Sara Sampaio, hasWorkedForBrand, Jeremy Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Scott
Context triple: [Sara Sampaio, hasWorkedForBrand, Jeremy Scott]
  • A. Jeremy Scott chosen
    Jeremy Scott is an American fashion designer best known as the creative director of Moschino and for his bold, pop-culture-inspired designs.
  • B. Demna Gvasalia
    Demna Gvasalia is a Georgian fashion designer known for his avant-garde, streetwear-influenced aesthetic and for revitalizing Balenciaga as its creative director.
  • C. Anthony Vaccarello
    Anthony Vaccarello is a Belgian fashion designer best known as the creative director of the luxury French house Saint Laurent.
  • D. Nicolas Ghesquière
    Nicolas Ghesquière is a renowned French fashion designer celebrated for his innovative, avant-garde work at major luxury houses.
  • E. Hedi Slimane
    Hedi Slimane is a French fashion designer and photographer renowned for pioneering a skinny, rock-inspired silhouette at Dior Homme and later redefining the image of Saint Laurent and Celine.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf664dd881908786fcd802bf10da completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cba6971c819090689917cd9b5b7c completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:56 p.m.