Triple
T3292214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dust |
E69126
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Alex Mpondo |
E197156
|
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: Alex Mpondo | Statement: [Red Dust, character, Alex Mpondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Mpondo Context triple: [Red Dust, character, Alex Mpondo]
-
A.
Luke Malaba
Luke Malaba is a Zimbabwean jurist who has served as the Chief Justice of Zimbabwe.
-
B.
Tony Kgoroge
chosen
Tony Kgoroge is a South African actor known for his roles in prominent films and television series, particularly those depicting South African history and social issues.
-
C.
Popo Molefe
Popo Molefe is a South African anti-apartheid activist and politician who played a prominent leadership role in the struggle against apartheid and later in democratic governance.
-
D.
Terry Pheto
Terry Pheto is a South African actress best known internationally for her roles in films such as "Tsotsi" and "Mandela: Long Walk to Freedom."
-
E.
Alex Magaisa
Alex Magaisa was a prominent Zimbabwean constitutional law expert, academic, and political commentator known for his influential analysis of Zimbabwe’s legal and political landscape.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07379dc8190b7bb409bcf42bdd6 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e86895988190a7acaa5948b50bcd |
completed | March 12, 2026, 4:23 p.m. |
Created at: March 8, 2026, 3:10 p.m.