Triple
T13718359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born 2 Rap |
E328960
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bongo ByTheWay |
E1016744
|
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 ByTheWay | Statement: [Born 2 Rap, producer, Bongo ByTheWay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongo ByTheWay Context triple: [Born 2 Rap, producer, Bongo ByTheWay]
-
A.
Bongo ByTheWay
chosen
Bongo ByTheWay is an American record producer and songwriter known for his work in contemporary R&B and hip-hop with prominent artists across the industry.
-
B.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
C.
Bongo Flava
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.
-
D.
Conga
"Conga" is a 1985 Latin pop-dance hit by Gloria Estefan and Miami Sound Machine that popularized Latin rhythms in mainstream American pop music.
-
E.
Bongo
Bongo is an animated musical segment from Disney’s 1947 anthology film "Fun and Fancy Free," following the adventures of a circus bear who longs for freedom and love.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd439a121c81908cae964e7756274c |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5a23bc8190942568658665bbb0 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.