Triple
T16918666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wamkele Mene |
E410385
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wamkele Mene |
E410385
|
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: Wamkele Mene | Statement: [Wamkele Mene, name, Wamkele Mene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wamkele Mene Context triple: [Wamkele Mene, name, Wamkele Mene]
-
A.
Wamkele Mene
chosen
Wamkele Mene is a South African trade expert and diplomat who serves as the inaugural Secretary-General of the African Continental Free Trade Area (AfCFTA).
-
B.
Velile Tshabalala
Velile Tshabalala is a British actress best known to Doctor Who fans for her role in the 2008 Christmas special "The Next Doctor."
-
C.
Jonas Gwangwa
Jonas Gwangwa was a renowned South African jazz trombonist, composer, and anti-apartheid cultural figure who gained international recognition for his film and protest music.
-
D.
Moloi-Motsepe
Moloi-Motsepe is the hyphenated surname of South African businesswoman and philanthropist Precious Moloi-Motsepe, known for her work in fashion, healthcare, and charitable initiatives.
-
E.
Oto Melara
Oto Melara is an Italian defense company known for designing and producing artillery systems, naval guns, and armored fighting vehicles.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdec3d0c8190994a0fca335c65d6 |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.