Triple

T23545591
Position Surface form Disambiguated ID Type / Status
Subject Maverick Carter E577883 entity
Predicate formerEmployer P1910 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: [Maverick Carter, formerEmployer, Nike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nike
Context triple: [Maverick Carter, formerEmployer, 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aeca3a408190899989fc8175e9c5 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.