Triple

T20071657
Position Surface form Disambiguated ID Type / Status
Subject Gigi Hadid E499752 entity
Predicate hasModeledFor P17880 FINISHED
Object Fendi NE NERFINISHED

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: Fendi | Statement: [Gigi Hadid, hasModeledFor, Fendi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fendi
Context triple: [Gigi Hadid, hasModeledFor, Fendi]
  • A. Fendi chosen
    Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
  • B. Prada
    Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
  • C. Prada
    Prada is a small commune in the Pyrénées-Orientales department of southern France, known for its Catalan cultural heritage and scenic location in the Têt River valley.
  • D. Gucci
    Gucci is a renowned Italian luxury fashion house known for its high-end clothing, accessories, and iconic branding.
  • E. Versace
    Versace is a renowned Italian luxury fashion house known for its bold, glamorous designs and iconic Medusa logo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.