Triple

T2899249
Position Surface form Disambiguated ID Type / Status
Subject Jon Kortajarena E62615 entity
Predicate hasWorkedAsFaceOfBrand P29719 FINISHED
Object Armani E161915 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: Armani | Statement: [Jon Kortajarena, hasWorkedAsFaceOfBrand, Armani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armani
Context triple: [Jon Kortajarena, hasWorkedAsFaceOfBrand, Armani]
  • A. Armani chosen
    Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
  • B. Dolce & Gabbana
    Dolce & Gabbana is a luxury Italian fashion house renowned for its glamorous, Mediterranean-inspired clothing, accessories, and fragrances.
  • C. Versace
    Versace is a renowned Italian luxury fashion house known for its bold, glamorous designs and iconic Medusa logo.
  • D. Fendi
    Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
  • E. Prada
    Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0ad7bbc8190822738baa6935b74 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055fe13448190bf25832219fd5f0c completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:10 p.m.