Triple
T13671963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Beauty |
E327771
|
entity |
| Predicate | genre |
P14
|
FINISHED |
| Object | Bongo Flava |
E1053006
|
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: Bongo Flava | Statement: [African Beauty, genre, Bongo Flava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongo Flava Context triple: [African Beauty, genre, Bongo Flava]
-
A.
Bongo Flava
chosen
Bongo Flava is a popular Tanzanian music genre that blends hip hop, R&B, reggae, and traditional East African sounds, often featuring Swahili lyrics and socially conscious themes.
-
B.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
C.
Singbonga
Singbonga is the supreme creator deity and sun god revered in the traditional religion of the Munda and other Austroasiatic tribal communities of eastern and central India.
-
D.
Rhumboogie
Rhumboogie is a jazz-influenced popular song written by American songwriter Don Raye, known for its lively rhythm and association with the swing era.
-
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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a83eddac81909376c36452bfa38b |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:53 p.m.