Triple
T11793178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thabo Makgoba |
E280437
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Thabo |
E291262
|
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: Thabo | Statement: [Thabo Makgoba, givenName, Thabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thabo Context triple: [Thabo Makgoba, givenName, Thabo]
-
A.
Thabo
chosen
Thabo is a common Southern African given name, often used in countries such as South Africa and Lesotho.
-
B.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
C.
Mangosuthu
Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
-
D.
Thamsanqa
Thamsanqa is a given name of Southern African origin, notably used as the middle name of Trevor Thamsanqa Tutu, the son of Archbishop Desmond Tutu.
-
E.
Mandla Gaduka
Mandla Gaduka is a South African actor best known internationally for his role in the science-fiction film "District 9."
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f130fd7b9881909e79ecb49fe98d30 |
completed | April 28, 2026, 10:13 p.m. |
Created at: April 8, 2026, 9:42 p.m.