Triple
T22576095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ski Beatz |
E544399
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Smoke DZA |
—
|
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: Smoke DZA | Statement: [Ski Beatz, associatedAct, Smoke DZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoke DZA Context triple: [Ski Beatz, associatedAct, Smoke DZA]
-
A.
Smoke DZA
chosen
Smoke DZA is an American rapper from Harlem, New York, known for his laid-back, weed-centric lyricism and collaborations within the East Coast hip-hop scene.
-
B.
Shot Smoky
Shot Smoky was a controversial 1957 atmospheric nuclear test at the Nevada Test Site that exposed thousands of military personnel to radiation during Operation Plumbbob.
-
C.
Smoke Machine
"Smoke Machine" is a house music track by British electronic duo X-Press 2, known for its club-oriented production and role in their early 2000s success.
-
D.
Smoke Some Kill
Smoke Some Kill is a 1988 gangsta rap album by Philadelphia rapper Schoolly D, known for its gritty street narratives and influential early hardcore hip-hop sound.
-
E.
“Smoke”
“Smoke” is a short story by Ivan Turgenev that explores themes of love, disillusionment, and the clash between old and new Russian society.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fecf1c8819091a05f2a1b93ca8a |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.