Triple

T1932469
Position Surface form Disambiguated ID Type / Status
Subject Carolina Herrera E40975 entity
Predicate brandName P1500 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: [Carolina Herrera, brandName, Carolina Herrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carolina Herrera
Context triple: [Carolina Herrera, brandName, 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. Alberta Ferretti
    Alberta Ferretti is an Italian fashion designer renowned for her romantic, ethereal gowns and her eponymous luxury womenswear label.
  • C. Sonia Rykiel
    Sonia Rykiel was a renowned French fashion designer celebrated for her chic knitwear, left-bank Parisian style, and influential eponymous label.
  • D. Cynthia Rowley
    Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
  • E. Susie Hilfiger
    Susie Hilfiger is an American businesswoman and former wife of fashion designer Tommy Hilfiger, known for her involvement in the fashion and lifestyle industry.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ac7cd1881908d9284370de529ce completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:35 p.m.