Triple
T16164281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winston Ntshona |
E392261
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ntshona
Ntshona is the surname of South African actor and playwright Winston Ntshona, known for his influential work in anti-apartheid theatre.
|
E1200365
|
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: Ntshona | Statement: [Winston Ntshona, familyName, Ntshona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ntshona Context triple: [Winston Ntshona, familyName, Ntshona]
-
A.
Luanshya
Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
-
B.
Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
-
C.
Msikaba
Msikaba is a coastal area in South Africa’s Eastern Cape known for its rugged shoreline, river gorge, and rich biodiversity near the Mkambati Nature Reserve.
-
D.
Chipinga
Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
-
E.
Lusambo
Lusambo is a town in the Democratic Republic of the Congo that once served as an important colonial and regional administrative center in the Kasai area.
- 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: Ntshona Triple: [Winston Ntshona, familyName, Ntshona]
Generated description
Ntshona is the surname of South African actor and playwright Winston Ntshona, known for his influential work in anti-apartheid theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ntshona Target entity description: Ntshona is the surname of South African actor and playwright Winston Ntshona, known for his influential work in anti-apartheid theatre.
-
A.
Luanshya
Luanshya is a mining town in Zambia known for its copper production and role in the country’s Copperbelt region.
-
B.
Thabazimbi
Thabazimbi is a small mining town in South Africa’s Limpopo province, known for its iron ore industry and proximity to the scenic Marakele National Park.
-
C.
Msikaba
Msikaba is a coastal area in South Africa’s Eastern Cape known for its rugged shoreline, river gorge, and rich biodiversity near the Mkambati Nature Reserve.
-
D.
Chipinga
Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
-
E.
Lusambo
Lusambo is a town in the Democratic Republic of the Congo that once served as an important colonial and regional administrative center in the Kasai area.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e622ae481909f3cf25b38886d3a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000785fcd481909ddf92cf9cc5c0aa |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00086c32c48190b7cf3ef2a97c7c9f |
completed | May 10, 2026, 4:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0008dbeb988190bbfb590f945ace02 |
completed | May 10, 2026, 4:26 a.m. |
Created at: April 10, 2026, 5:02 a.m.