Triple

T15553817
Position Surface form Disambiguated ID Type / Status
Subject Hailey Bieber E370817 entity
Predicate hasModeledFor P17880 FINISHED
Object Adidas E3876 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: Adidas | Statement: [Hailey Bieber, hasModeledFor, Adidas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adidas
Context triple: [Hailey Bieber, hasModeledFor, Adidas]
  • A. Adidas chosen
    Adidas is a global sportswear and equipment company known for its iconic three-stripe branding and production of athletic footwear, apparel, and accessories.
  • B. Adidas Errejota
    Adidas Errejota is an official match football designed by Adidas, notably used as the tournament ball for the Rio 2016 Olympic Games.
  • 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. Adidas Uniforia
    Adidas Uniforia is the official match ball designed by Adidas for UEFA Euro 2020, featuring a modern, colorful design symbolizing unity across Europe.
  • E. Reebok
    Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456209288190aba6debd434af741 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.