Triple
T2475759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenani Mandela-Dlamini |
E55084
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dlamini
Dlamini is a common Southern African surname of Swazi origin, notably associated with the Swazi royal family and various prominent public figures.
|
E271562
|
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: Dlamini | Statement: [Zenani Mandela-Dlamini, familyName, Dlamini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dlamini Context triple: [Zenani Mandela-Dlamini, familyName, Dlamini]
-
A.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
B.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
-
C.
Princess Zenani of the Thembu
Princess Zenani of the Thembu is a South African royal and diplomat, the daughter of Nelson and Winnie Mandela, who has served as an ambassador representing South Africa abroad.
-
D.
Nomzamo
Nomzamo is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
-
E.
Nolani
Nolani are the inhabitants or natives of the city of Nola in southern Italy.
- 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: Dlamini Triple: [Zenani Mandela-Dlamini, familyName, Dlamini]
Generated description
Dlamini is a common Southern African surname of Swazi origin, notably associated with the Swazi royal family and various prominent public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dlamini Target entity description: Dlamini is a common Southern African surname of Swazi origin, notably associated with the Swazi royal family and various prominent public figures.
-
A.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
B.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
-
C.
Princess Zenani of the Thembu
Princess Zenani of the Thembu is a South African royal and diplomat, the daughter of Nelson and Winnie Mandela, who has served as an ambassador representing South Africa abroad.
-
D.
Nomzamo
Nomzamo is the given name of Winnie Madikizela-Mandela, the prominent South African anti-apartheid activist and politician.
-
E.
Nolani
Nolani are the inhabitants or natives of the city of Nola in southern Italy.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd14c8c388190bbdc486ffed6899e |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f8990488190bc54cc5eadf11baa |
completed | March 9, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_69af1fe9eecc8190b5f3e15bde5239b4 |
completed | March 9, 2026, 7:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af204da9c88190a59155f04a214b8d |
completed | March 9, 2026, 7:32 p.m. |
Created at: March 6, 2026, 9:45 p.m.