Triple
T1226269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnie Mandela |
E26333
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nomzamo
Nomzamo is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
|
E146313
|
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: Nomzamo | Statement: [Winnie Mandela, givenName, Nomzamo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nomzamo Context triple: [Winnie Mandela, givenName, Nomzamo]
-
A.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
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.
Mafadi
Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
-
D.
Tshiphani
Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
-
E.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
- 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: Nomzamo Triple: [Winnie Mandela, givenName, Nomzamo]
Generated description
Nomzamo is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nomzamo Target entity description: Nomzamo is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
-
A.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
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.
Mafadi
Mafadi is a prominent mountain peak on the border of South Africa and Lesotho, renowned as the highest point in South Africa and a popular destination for serious hikers and mountaineers.
-
D.
Tshiphani
Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
-
E.
Mandla
Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2eb158081909f1175d8f4daaa96 |
completed | March 7, 2026, 10:12 p.m. |
| NEDg | Description generation | batch_69aca3a539848190a17e8bd578bc237a |
completed | March 7, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca4158bbc8190bd1f5799715e3e4c |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:47 p.m.