Triple
T12669416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leleti Khumalo |
E302635
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Khumalo
Khumalo is a common Southern African surname associated with notable figures in arts, politics, and public life, particularly in South Africa and Zimbabwe.
|
E1000046
|
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: Khumalo | Statement: [Leleti Khumalo, familyName, Khumalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khumalo Context triple: [Leleti Khumalo, familyName, Khumalo]
-
A.
Mokoena
Mokoena is a common Southern African surname of Sotho-Tswana origin borne by various notable figures in politics, sports, and the arts.
-
B.
Thokozani
Thokozani is a given name most notably borne by Zimbabwean politician Thokozani Khupe.
-
C.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
D.
Khupe
Khupe is a surname most prominently associated with Thokozani Khupe, a Zimbabwean politician and former deputy prime minister.
-
E.
Mokorotlo
Mokorotlo is a traditional Basotho conical hat, typically woven from grass, that serves as a national cultural symbol of Lesotho.
- 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: Khumalo Triple: [Leleti Khumalo, familyName, Khumalo]
Generated description
Khumalo is a common Southern African surname associated with notable figures in arts, politics, and public life, particularly in South Africa and Zimbabwe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Khumalo Target entity description: Khumalo is a common Southern African surname associated with notable figures in arts, politics, and public life, particularly in South Africa and Zimbabwe.
-
A.
Mokoena
Mokoena is a common Southern African surname of Sotho-Tswana origin borne by various notable figures in politics, sports, and the arts.
-
B.
Thokozani
Thokozani is a given name most notably borne by Zimbabwean politician Thokozani Khupe.
-
C.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
D.
Khupe
Khupe is a surname most prominently associated with Thokozani Khupe, a Zimbabwean politician and former deputy prime minister.
-
E.
Mokorotlo
Mokorotlo is a traditional Basotho conical hat, typically woven from grass, that serves as a national cultural symbol of Lesotho.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7527c4819096c49a12dcba3c1a |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67de172088190b055ace0fdcfd1fd |
completed | May 2, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ec570a881909c98471b701999f0 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:20 p.m.