Triple

T8653479
Position Surface form Disambiguated ID Type / Status
Subject Misty Copeland E205154 entity
Predicate hasModeledFor P17880 FINISHED
Object Under Armour E23649 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: Under Armour | Statement: [Misty Copeland, hasModeledFor, Under Armour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Under Armour
Context triple: [Misty Copeland, hasModeledFor, Under Armour]
  • A. Under Armour chosen
    Under Armour is an American sportswear and athletic footwear company known for its performance apparel and innovative moisture-wicking fabrics.
  • B. 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.
  • C. Athleta
    Athleta is an American women’s athletic and lifestyle apparel brand known for performance-focused, inclusive, and fashion-forward activewear.
  • D. Adidas
    Adidas is a global sportswear and equipment company known for its iconic three-stripe branding and production of athletic footwear, apparel, and accessories.
  • E. Nike, Inc.
    Nike, Inc. is a multinational corporation best known as one of the world’s leading designers, marketers, and distributors of athletic footwear, apparel, and sports equipment.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484206d881908017897dada63124 completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccd1d7f88190a5440581325eac63 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:29 p.m.