Triple
T12410591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Giant |
E296502
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kel P |
E972983
|
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: Kel P | Statement: [African Giant, producer, Kel P]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kel P Context triple: [African Giant, producer, Kel P]
-
A.
Kel P
chosen
Kel P is a Nigerian record producer and songwriter known for crafting Afrobeat and Afropop hits for top artists such as Burna Boy and Wizkid.
-
B.
Kpase
Kpase is a dialect of the Fon language spoken by Fon communities in parts of West Africa, particularly in Benin.
-
C.
Kin Kletso
Kin Kletso is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its masonry architecture and role in the Chacoan cultural landscape.
-
D.
Kes
Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
-
E.
Kes
Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348af5a8819083a075d145b15fd4 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.