Triple
T12260316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anloga Junction |
E292203
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Streetbeatz |
E968854
|
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: Streetbeatz | Statement: [Anloga Junction, producer, Streetbeatz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Streetbeatz Context triple: [Anloga Junction, producer, Streetbeatz]
-
A.
StreetBeatz
chosen
StreetBeatz is a Ghanaian music producer known for crafting hit songs in the Afrobeats and hip-hop scenes.
-
B.
Street Beat
Street Beat is the 1983 funk and R&B debut album by The Deele, featuring early work by future superstar producer and songwriter Babyface.
-
C.
Nasty Beatmakers
Nasty Beatmakers is a hip-hop production duo known for crafting hard-hitting beats for prominent rap artists in the 2000s and 2010s.
-
D.
Dead Beats
Dead Beats is a comic book series written by Eric Palicki, known for its blend of music-themed storytelling and supernatural or horror elements.
-
E.
Boogie Down
"Boogie Down" is a 1983 R&B/disco single by former Temptations singer Eddie Kendricks that became one of his best-known solo hits.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.