Triple

T5045832
Position Surface form Disambiguated ID Type / Status
Subject Valentine E113659 entity
Predicate hasVariant P455 FINISHED
Object Valentino E57151 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: Valentino | Statement: [Valentine, hasVariant, Valentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valentino
Context triple: [Valentine, hasVariant, Valentino]
  • A. Valentino chosen
    Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
  • B. Roberto Cavalli
    Roberto Cavalli is an Italian fashion designer renowned for his glamorous, animal-print–driven aesthetic and luxury clothing and accessories brand.
  • C. Versace
    Versace is a renowned Italian luxury fashion house known for its bold, glamorous designs and iconic Medusa logo.
  • D. Giorgio Armani
    Giorgio Armani is an Italian fashion designer and founder of the Armani brand, renowned for his minimalist, elegant tailoring and major influence on modern luxury fashion.
  • E. Armani
    Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fe99688190961708f5d8eb6bff completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8e1fc481908faf1042ee7f49e9 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.