Triple
T23371727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Coffee |
E593492
|
entity |
| Predicate | hasMusicVideo |
P3287
|
FINISHED |
| Object | Black Coffee (music video) |
—
|
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: Black Coffee (music video) | Statement: [Black Coffee, hasMusicVideo, Black Coffee (music video)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Coffee (music video) Context triple: [Black Coffee, hasMusicVideo, Black Coffee (music video)]
-
A.
Black Coffee
"Black Coffee" is a popular hip hop track by Heavy D & the Boyz known for its smooth production and socially conscious lyrics.
-
B.
Black Coffee
chosen
Black Coffee is a renowned South African DJ and record producer celebrated for his influential contributions to house music on the global stage.
-
C.
Black Caffeine
"Black Caffeine" is a song featured on the country album *Old Yellow Moon* by Emmylou Harris and Rodney Crowell.
-
D.
Hot Coffee
Hot Coffee is a fictional character who serves as the central protagonist in the 1977 film "Handle with Care."
-
E.
Cudi Montage
Cudi Montage is a reflective, emotionally charged closing track by Kid Cudi and Kanye West from their collaborative album "Kids See Ghosts."
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:32 p.m.