Triple
T4686590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AmaZulu F.C. |
E103934
|
entity |
| Predicate | president |
P8
|
FINISHED |
| Object | Sandile Zungu |
E468039
|
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: Sandile Zungu | Statement: [AmaZulu F.C., president, Sandile Zungu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandile Zungu Context triple: [AmaZulu F.C., president, Sandile Zungu]
-
A.
Sandile Zungu
chosen
Sandile Zungu is a South African businessman and sports executive best known for owning and leading the Premier Soccer League club AmaZulu FC.
-
B.
Wamkele Mene
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).
-
C.
Sandile kaNgqika
Sandile kaNgqika was a prominent 19th-century Xhosa chief and military leader who played a central role in resisting British colonial expansion in the Eastern Cape.
-
D.
Luke Malaba
Luke Malaba is a Zimbabwean jurist who has served as the Chief Justice of Zimbabwe.
-
E.
Kagiso Kuypers
Kagiso Kuypers is an actor best known for his role in the 2006 political war thriller film "Blood Diamond."
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd638593048190ad4af82f735d467a |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d76e8cc81908d1ef5a60edab64c |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:16 p.m.