Triple

T1932534
Position Surface form Disambiguated ID Type / Status
Subject Versace E40976 entity
Predicate hasSubsidiaryLine P25079 FINISHED
Object Versus Versace E40976 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: Versus Versace | Statement: [Versace, hasSubsidiaryLine, Versus Versace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Versus Versace
Context triple: [Versace, hasSubsidiaryLine, Versus Versace]
  • A. Miu Miu
    Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
  • B. Valentino
    Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
  • C. House of Gucci
    House of Gucci is a 2021 crime drama film that chronicles the tumultuous events within the Gucci fashion dynasty, directed by Ridley Scott and starring Lady Gaga and Adam Driver.
  • D. Versace chosen
    Versace is a renowned Italian luxury fashion house known for its bold, glamorous designs and iconic Medusa logo.
  • E. Vivienne
    Vivienne was a British writer and socialite best known as the first wife of poet T. S. Eliot and a central, troubled figure in his life and work.
  • 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_69abb7c51c2881908054760c624dd577 completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f16d0c8190967862b68e6cc373 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.