Triple

T20071668
Position Surface form Disambiguated ID Type / Status
Subject Gigi Hadid E499752 entity
Predicate hasModeledFor P17880 FINISHED
Object Reebok 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: Reebok | Statement: [Gigi Hadid, hasModeledFor, Reebok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reebok
Context triple: [Gigi Hadid, hasModeledFor, Reebok]
  • A. Reebok chosen
    Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
  • B. New Balance
    New Balance is a major American athletic footwear and apparel brand known for its performance running shoes, classic lifestyle sneakers, and emphasis on comfort and fit.
  • C. Diadora
    Diadora is an Italian sportswear and footwear brand known for producing football kits, athletic shoes, and apparel for various professional teams and athletes.
  • D. Nikes
    "Nikes" is a critically acclaimed, genre-blending opening track by Frank Ocean that explores themes of materialism, grief, and identity.
  • E. Adidas
    Adidas is a global sportswear and equipment company known for its iconic three-stripe branding and production of athletic footwear, apparel, and accessories.
  • 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.