Triple

T8605364
Position Surface form Disambiguated ID Type / Status
Subject Karlie Kloss E203782 entity
Predicate hasModeledFor P17880 FINISHED
Object Carolina Herrera E40975 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: Carolina Herrera | Statement: [Karlie Kloss, hasModeledFor, Carolina Herrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolina Herrera
Context triple: [Karlie Kloss, hasModeledFor, Carolina Herrera]
  • A. Carolina Herrera chosen
    Carolina Herrera is a Venezuelan-American fashion designer renowned for her elegant, sophisticated clothing and fragrance lines favored by celebrities and socialites.
  • B. Paloma Herrera
    Paloma Herrera is an acclaimed Argentine ballet dancer renowned as one of the leading principal ballerinas of the late 20th and early 21st centuries.
  • C. Regine Saint Laurent
    Regine Saint Laurent is the central protagonist of the opera-themed story "Prima Donna," around whom the dramatic narrative and emotional conflicts revolve.
  • D. Alberta Ferretti
    Alberta Ferretti is an Italian fashion designer renowned for her romantic, ethereal gowns and her eponymous luxury womenswear label.
  • E. Sonia Rykiel
    Sonia Rykiel was a renowned French fashion designer celebrated for her chic knitwear, left-bank Parisian style, and influential eponymous label.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46e9b6a881908f6a6c847519e5e5 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea900cf708190abb550f592edbdf6 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:24 p.m.