Triple
T15142365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blended Babies |
E361716
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Smoke DZA |
E971613
|
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: Smoke DZA | Statement: [The Blended Babies, collaboratedWith, Smoke DZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoke DZA Context triple: [The Blended Babies, collaboratedWith, 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.
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.
-
C.
No Smoke
"No Smoke" is a track from The Game's 2019 studio album "Born 2 Rap," showcasing his West Coast hip-hop style and lyrical storytelling.
-
D.
DZA
DZA is the three-letter ISO 3166-1 alpha-3 country code assigned to Algeria.
-
E.
DZA
DZA is the IATA airport code for Dzaoudzi–Pamandzi International Airport, the main air gateway to the French overseas department of Mayotte in the Indian Ocean.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfee0ae48190a36523d3eeae9740 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.