Triple
T12321489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Good Time |
E293737
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Speroach Beatz |
E996188
|
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: Speroach Beatz | Statement: [A Good Time, producer, Speroach Beatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speroach Beatz Context triple: [A Good Time, producer, Speroach Beatz]
-
A.
Speroach Beatz
chosen
Speroach Beatz is a Nigerian record producer and songwriter known for crafting hit Afrobeats tracks for major artists in the contemporary African music scene.
-
B.
Avenue Beatz
Avenue Beatz is a music producer known for crafting contemporary hip-hop and R&B instrumentals and collaborations.
-
C.
Legendury Beatz
Legendury Beatz is a Nigerian record production duo known for crafting hit Afrobeats tracks for top artists such as Wizkid.
-
D.
Beatz Dakay
Beatz Dakay is a Ghanaian music producer best known for crafting hit Afro-dancehall and reggae tracks, particularly through his collaborations with artist Stonebwoy.
-
E.
Blaise Beatz
Blaise Beatz is a Nigerian music producer known for crafting contemporary Afrobeats sounds for top artists in the scene.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c62e40481908a688912055c697c |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 8, 2026, 9:53 p.m.