Triple
T14007305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ndungane |
E336982
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Akona Ndungane
Akona Ndungane is a former South African rugby union player best known for his career as a wing with the national team, the Springboks, and the Bulls in Super Rugby.
|
E1075433
|
NE FINISHED |
How this triple was built (4 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: Akona Ndungane | Statement: [Ndungane, notableBearer, Akona Ndungane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akona Ndungane Context triple: [Ndungane, notableBearer, Akona Ndungane]
-
A.
Thandekile Ndlovu
Thandekile Ndlovu is a South African royal figure known as one of the wives of the late Zulu King Goodwill Zwelithini kaBhekuzulu.
-
B.
Sthandiwe Kgoroge
Sthandiwe Kgoroge is a South African actress and television personality known for her roles in popular local dramas and soap operas.
-
C.
Nokuthula Mhlaba
Nokuthula Mhlaba is known as the wife of South African anti-apartheid activist and politician Raymond Mhlaba.
-
D.
Phumlani Dlamini
Phumlani Dlamini is a person notable enough to be specifically cited as a bearer of the surname Dlamini.
-
E.
Hlengiwe Mkhize
Hlengiwe Mkhize was a South African academic and politician who played a significant role in the country’s post-apartheid transition and governance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Akona Ndungane Triple: [Ndungane, notableBearer, Akona Ndungane]
Generated description
Akona Ndungane is a former South African rugby union player best known for his career as a wing with the national team, the Springboks, and the Bulls in Super Rugby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akona Ndungane Target entity description: Akona Ndungane is a former South African rugby union player best known for his career as a wing with the national team, the Springboks, and the Bulls in Super Rugby.
-
A.
Thandekile Ndlovu
Thandekile Ndlovu is a South African royal figure known as one of the wives of the late Zulu King Goodwill Zwelithini kaBhekuzulu.
-
B.
Sthandiwe Kgoroge
Sthandiwe Kgoroge is a South African actress and television personality known for her roles in popular local dramas and soap operas.
-
C.
Nokuthula Mhlaba
Nokuthula Mhlaba is known as the wife of South African anti-apartheid activist and politician Raymond Mhlaba.
-
D.
Phumlani Dlamini
Phumlani Dlamini is a person notable enough to be specifically cited as a bearer of the surname Dlamini.
-
E.
Hlengiwe Mkhize
Hlengiwe Mkhize was a South African academic and politician who played a significant role in the country’s post-apartheid transition and governance.
- F. None of above. chosen
Provenance (5 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed327d88190a53af5768468a8eb |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc329891c8190b4dcb9913e235a1c |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc5964b7c8190babbb3bd50a1aaec |
completed | May 6, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc912f0e08190be7c4f671b499c57 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 9, 2026, 10:19 p.m.