Triple
T14659489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goapele |
E344198
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Goapele |
E344198
|
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: Goapele | Statement: [Goapele, name, Goapele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goapele Context triple: [Goapele, name, Goapele]
-
A.
Goapele
chosen
Goapele is an American soul and R&B singer-songwriter known for her socially conscious lyrics and smooth, jazz-inflected vocal style.
-
B.
Utsetela
Utsetela is a little-known genus of flowering plants in the mulberry and fig family, Moraceae.
-
C.
Songololo
Songololo is a town in the western Democratic Republic of the Congo, situated near the border with Angola and known as a local transport and trade hub.
-
D.
Mama Africa
Mama Africa is the affectionate nickname of South African singer and civil rights activist Miriam Makeba, renowned worldwide for her powerful voice and role in the anti-apartheid movement.
-
E.
Mama Africa
"Mama Africa" is a socially conscious Afropop/R&B song by Akon that celebrates and pays tribute to the African continent and its people.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e28f848190a3d686bc11336601 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.