Triple
T6473725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tha Carter V |
E146016
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Avenue Beatz |
E65212
|
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: Avenue Beatz | Statement: [Tha Carter V, producer, Avenue Beatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avenue Beatz Context triple: [Tha Carter V, producer, Avenue Beatz]
-
A.
Avenue Beatz
chosen
Avenue Beatz is a music producer known for crafting contemporary hip-hop and R&B instrumentals and collaborations.
-
B.
Legendury Beatz
Legendury Beatz is a Nigerian record production duo known for crafting hit Afrobeats tracks for top artists such as Wizkid.
-
C.
Swizz Beatz
Swizz Beatz is an American record producer, rapper, and entrepreneur known for his influential work in hip-hop and collaborations with numerous major artists.
-
D.
CuBeatz
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.
-
E.
Mr Eazi
Mr Eazi is a Nigerian singer, songwriter, and entrepreneur known for pioneering the Banku music sound and popularizing contemporary Afrobeats globally.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a32c0188190bcb3c35fc1d796a6 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653a2b2508190a3691412f853ed6f |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:50 p.m.