Triple
T10262592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lion King: The Gift |
E240634
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Burnaboy |
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: Burnaboy | Statement: [The Lion King: The Gift, featuresArtist, Burnaboy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burnaboy Context triple: [The Lion King: The Gift, featuresArtist, Burnaboy]
-
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.
Bryson Tiller
Bryson Tiller is an American singer, rapper, and songwriter known for pioneering the modern trap-soul sound with hits like "Don't" and "Exchange."
-
C.
Wale
Wale is an American rapper and songwriter known for his witty wordplay, poetic lyricism, and hits like "Lotus Flower Bomb" and "Bad."
-
D.
B.o.B
B.o.B is an American rapper, singer, songwriter, and record producer known for hits like "Nothin' on You," "Airplanes," and "Magic."
-
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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25dac34819099dbfad7f80507bb |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cdcdf8c81909f5a2be1c3aa03a0 |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:32 a.m.