Triple
T7949696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio |
E184582
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jazzy Jay |
E421427
|
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: Jazzy Jay | Statement: [Radio, producer, Jazzy Jay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jazzy Jay Context triple: [Radio, producer, Jazzy Jay]
-
A.
Jazzy Jay
chosen
Jazzy Jay is an influential American hip hop DJ and producer from the Bronx, known as a pioneer of early rap and a key figure in the development of the New York hip hop scene.
-
B.
U-Roy
U-Roy was a pioneering Jamaican reggae and dancehall deejay known for popularizing the toasting style that heavily influenced the development of modern rap and DJ culture.
-
C.
DJ Jazzy Jeff
DJ Jazzy Jeff is an American DJ, record producer, and turntablist best known for his pioneering work in hip hop and his partnership with Will Smith as DJ Jazzy Jeff & The Fresh Prince.
-
D.
Jazze Pha
Jazze Pha is an American hip hop and R&B record producer and songwriter known for his smooth, melodic Southern sound and collaborations with numerous mainstream artists.
-
E.
Juggy D
Juggy D is a British-Indian Punjabi singer known for his contributions to the UK bhangra and Asian underground music scenes.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2d09a4819097aa49e29a5426ec |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe03c7d308190aec1172415be995c |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:10 p.m.