Triple
T11747515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsotsi |
E279321
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mothusi Magano
Mothusi Magano is a South African actor best known for his acclaimed role in the Oscar-winning film "Tsotsi."
|
E951321
|
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: Mothusi Magano | Statement: [Tsotsi, starring, Mothusi Magano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mothusi Magano Context triple: [Tsotsi, starring, Mothusi Magano]
-
A.
Amos Masondo
Amos Masondo is a South African politician and former mayor of Johannesburg who has held senior leadership roles in the country’s national legislative structures.
-
B.
Reinhold Inkamala
Reinhold Inkamala is an Australian Aboriginal artist recognized for his contributions to the Hermannsburg watercolour painting tradition.
-
C.
Siphosethu Ngcobo
Siphosethu Ngcobo is a South African politician who serves in a top leadership role within the Inkatha Freedom Party.
-
D.
Patrick Mofokeng
Patrick Mofokeng is a South African actor known for his roles in film and television, particularly in politically themed dramas.
-
E.
Louis Maqhubela
Louis Maqhubela was a pioneering South African modernist painter known for his abstract and expressionist works that engaged with both African and European artistic traditions.
- 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: Mothusi Magano Triple: [Tsotsi, starring, Mothusi Magano]
Generated description
Mothusi Magano is a South African actor best known for his acclaimed role in the Oscar-winning film "Tsotsi."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mothusi Magano Target entity description: Mothusi Magano is a South African actor best known for his acclaimed role in the Oscar-winning film "Tsotsi."
-
A.
Amos Masondo
Amos Masondo is a South African politician and former mayor of Johannesburg who has held senior leadership roles in the country’s national legislative structures.
-
B.
Reinhold Inkamala
Reinhold Inkamala is an Australian Aboriginal artist recognized for his contributions to the Hermannsburg watercolour painting tradition.
-
C.
Siphosethu Ngcobo
Siphosethu Ngcobo is a South African politician who serves in a top leadership role within the Inkatha Freedom Party.
-
D.
Patrick Mofokeng
Patrick Mofokeng is a South African actor known for his roles in film and television, particularly in politically themed dramas.
-
E.
Louis Maqhubela
Louis Maqhubela was a pioneering South African modernist painter known for his abstract and expressionist works that engaged with both African and European artistic traditions.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280d8f604819095823c3650adbad7 |
completed | April 29, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f28a8e64ac8190ba7637fd00e024bd |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28d4e341c8190abc8febc3b26a617 |
completed | April 29, 2026, 10:59 p.m. |
Created at: April 8, 2026, 9:41 p.m.