Triple
T8790421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 NBA All-Star Game |
E209147
|
entity |
| Predicate | halftimePerformer |
P1363
|
FINISHED |
| Object | Burna Boy |
E61204
|
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: Burna Boy | Statement: [2023 NBA All-Star Game, halftimePerformer, Burna Boy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burna Boy Context triple: [2023 NBA All-Star Game, halftimePerformer, Burna Boy]
-
A.
Burna Boy
chosen
Burna Boy is a Nigerian singer, songwriter, and performer renowned internationally for his fusion of Afrobeats with reggae, dancehall, and pop.
-
B.
Wizkid
Wizkid is a Nigerian singer and songwriter widely recognized as one of the leading global stars of Afrobeats music.
-
C.
Davido
Davido is a Nigerian singer, songwriter, and record producer who is one of the leading global stars of contemporary Afrobeats music.
-
D.
Adekunle Gold
Adekunle Gold is a Nigerian singer, songwriter, and graphic designer known for his blend of highlife, Afropop, and contemporary R&B music.
-
E.
Shatta Wale
Shatta Wale is a popular Ghanaian dancehall artist known for his hit songs, energetic performances, and major influence on the country’s contemporary music 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8d25f881908863d636fa57a8a2 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5210454c8190aa83d941893a4bc5 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.