Triple
T2648978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makgatho Mandela |
E53851
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Makgatho
Makgatho is a South African lawyer and businessman best known as the son of former president Nelson Mandela.
|
E286329
|
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: Makgatho | Statement: [Makgatho Mandela, givenName, Makgatho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makgatho Context triple: [Makgatho Mandela, givenName, Makgatho]
-
A.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
B.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
-
C.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
D.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
-
E.
Madikizela
Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
- 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: Makgatho Triple: [Makgatho Mandela, givenName, Makgatho]
Generated description
Makgatho is a South African lawyer and businessman best known as the son of former president Nelson Mandela.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makgatho Target entity description: Makgatho is a South African lawyer and businessman best known as the son of former president Nelson Mandela.
-
A.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
B.
Maphelane
Maphelane is a coastal nature reserve in South Africa known for its high vegetated dunes, rich birdlife, and diverse estuarine and marine habitats within the iSimangaliso Wetland Park.
-
C.
Makgoba
Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
-
D.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
-
E.
Madikizela
Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91ca1288190ba302b04bac4c153 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98c944548190a8dbe9b81045e97b |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af99fcd7348190b7e99d58ce9c363a |
completed | March 10, 2026, 4:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af9a5938b48190820f37f2e2280438 |
completed | March 10, 2026, 4:13 a.m. |
Created at: March 6, 2026, 9:53 p.m.