Triple

T20472564
Position Surface form Disambiguated ID Type / Status
Subject Without Limits E502227 entity
Predicate portraysOrganization P10218 FINISHED
Object Nike (early history) 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 (early history) | Statement: [Without Limits, portraysOrganization, Nike (early history)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nike (early history)
Context triple: [Without Limits, portraysOrganization, Nike (early history)]
  • A. 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.
  • B. Nike
    Nike is the Greek goddess who personifies victory, often depicted as a winged figure symbolizing triumph in both war and peaceful competition.
  • C. Nike
    Nike is a town and suburban area within Enugu East Local Government Area in Enugu State, southeastern Nigeria.
  • D. Nkwo Nike
    Nkwo Nike is a town that serves as the administrative headquarters of Enugu East Local Government Area in Enugu State, southeastern Nigeria.
  • E. Nikes
    "Nikes" is a critically acclaimed, genre-blending opening track by Frank Ocean that explores themes of materialism, grief, and identity.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69962d810819091bb13fe73250e24 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.