Triple
T21935354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Hasta la Muerte |
E541671
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Yeezy |
—
|
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: Yeezy | Statement: [Real Hasta la Muerte, hasTrack, Yeezy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeezy Context triple: [Real Hasta la Muerte, hasTrack, Yeezy]
-
A.
Yeezy Tech
Yeezy Tech is a record label associated with Kanye West’s Yeezy brand, focusing on innovative and genre-blending music releases.
-
B.
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.
-
C.
Off-White
Off-White is a high-end streetwear and luxury fashion label founded by Virgil Abloh, known for its distinctive use of quotation marks, industrial motifs, and collaborations with major brands.
-
D.
Vlone
Vlone is a track by Chicago rapper Valee known for its minimalist production and laid-back, off-kilter flow.
-
E.
Kanye Krazy
"Kanye Krazy" is a hip-hop track by Lil Durk that pays homage to and references the controversial career and persona of Kanye West.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124048fe48190987340d5a6945176 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:52 p.m.