Triple
T8023208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocket Power |
E186788
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | CuBeatz |
E590706
|
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: CuBeatz | Statement: [Rocket Power, producer, CuBeatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CuBeatz Context triple: [Rocket Power, producer, CuBeatz]
-
A.
CuBeatz
chosen
CuBeatz is a German hip-hop production duo known for crafting atmospheric, melodic trap beats for prominent artists in the U.S. and international rap scenes.
-
B.
Avenue Beatz
Avenue Beatz is a music producer known for crafting contemporary hip-hop and R&B instrumentals and collaborations.
-
C.
Rico Beats
Rico Beats is an American hip-hop record producer known for his work with artists like Pop Smoke, particularly on drill-influenced tracks.
-
D.
Legendury Beatz
Legendury Beatz is a Nigerian record production duo known for crafting hit Afrobeats tracks for top artists such as Wizkid.
-
E.
Kane Beatz
Kane Beatz is an American record producer known for crafting hit hip-hop and rap tracks for major artists such as Lil Wayne, Nicki Minaj, and Trey Songz.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8fb6788190a16413051ec26988 |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56cdce588190abba45c24dc7a5e7 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:21 p.m.