Triple

T22985694
Position Surface form Disambiguated ID Type / Status
Subject Galen Rupp E571599 entity
Predicate sponsor P67 FINISHED
Object Nike 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: Nike | Statement: [Galen Rupp, sponsor, Nike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nike
Context triple: [Galen Rupp, sponsor, Nike]
  • A. Nike
    Nike is the Greek goddess who personifies victory, often depicted as a winged figure symbolizing triumph in both war and peaceful competition.
  • B. Nike
    Nike is a town and suburban area within Enugu East Local Government Area in Enugu State, southeastern Nigeria.
  • C. Nikes
    "Nikes" is a critically acclaimed, genre-blending opening track by Frank Ocean that explores themes of materialism, grief, and identity.
  • D. Nike, Inc. chosen
    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.
  • E. Nike.com
    Nike.com is the official online platform of Nike, offering the brand’s full range of athletic footwear, apparel, and accessories directly to consumers.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182996ee08190ab74014ee7ecac2b completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.