Triple
T18290255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blame It on Baby |
E438091
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | DJ K.i.D |
—
|
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: DJ K.i.D | Statement: [Blame It on Baby, producer, DJ K.i.D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DJ K.i.D Context triple: [Blame It on Baby, producer, DJ K.i.D]
-
A.
DJ K.i.D
chosen
DJ K.i.D is a hip-hop producer and DJ best known for his work with DaBaby, including contributions to the hit single "Bop."
-
B.
DJ Kayslay
DJ Kay Slay was an influential New York hip-hop DJ and mixtape pioneer known for his street-centric tapes, radio shows, and collaborations with major rap artists.
-
C.
DJ Mekalek
DJ Mekalek is a hip-hop DJ and producer known for his intricate turntablism, underground collaborations, and work with groups like Time Machine.
-
D.
DJ Kaywise
DJ Kaywise is a popular Nigerian disc jockey and music producer known for his hit street anthems, mixtapes, and collaborations with top Afrobeats artists.
-
E.
DJ Klem
DJ Klem is a Nigerian music producer and DJ known for crafting polished, genre-blending beats for prominent Afrobeats and hip-hop artists.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.