Triple

T3125329
Position Surface form Disambiguated ID Type / Status
Subject Ye E65282 entity
Predicate notableProject P4 FINISHED
Object Yeezy (fashion brand) E65595 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: Yeezy (fashion brand) | Statement: [Ye, notableProject, Yeezy (fashion brand)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yeezy (fashion brand)
Context triple: [Ye, notableProject, Yeezy (fashion brand)]
  • A. Yeezy brand chosen
    Yeezy brand is a fashion label founded by Kanye West, best known for its influential, minimalist streetwear and highly coveted sneaker collaborations with Adidas.
  • B. Vlone
    Vlone is a track by Chicago rapper Valee known for its minimalist production and laid-back, off-kilter flow.
  • C. Nike
    Nike is the Greek goddess who personifies victory, often depicted as a winged figure symbolizing triumph in both war and peaceful competition.
  • D. Fenty
    Fenty is the surname of global music and fashion icon Rihanna, which she also uses as the brand name for her beauty and fashion ventures.
  • E. KITH
    KITH is the ICAO airport code for Ithaca Tompkins International Airport in Ithaca, New York, which serves the Finger Lakes region with regional commercial flights.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52e9f348190aa15b2c0d252719f completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f75fbf081909a2957b7277c3aae completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.