Triple
T21804139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senzangakhona kaJama |
E538306
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Senzangakhona
Senzangakhona was a Zulu chief best known as the father of Shaka Zulu, the famed 19th-century Zulu king and military leader.
|
E1502172
|
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: Senzangakhona | Statement: [Senzangakhona kaJama, givenName, Senzangakhona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senzangakhona Context triple: [Senzangakhona kaJama, givenName, Senzangakhona]
-
A.
Mangosuthu
Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
-
B.
Khumalo
Khumalo is a common Southern African surname associated with notable figures in arts, politics, and public life, particularly in South Africa and Zimbabwe.
-
C.
Mandla Gaduka
Mandla Gaduka is a South African actor best known internationally for his role in the science-fiction film "District 9."
-
D.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
E.
Nquthu
Nquthu is a small town in KwaZulu-Natal, South Africa, known for its rural character and historical significance in the region.
- 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: Senzangakhona Triple: [Senzangakhona kaJama, givenName, Senzangakhona]
Generated description
Senzangakhona was a Zulu chief best known as the father of Shaka Zulu, the famed 19th-century Zulu king and military leader.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senzangakhona Target entity description: Senzangakhona was a Zulu chief best known as the father of Shaka Zulu, the famed 19th-century Zulu king and military leader.
-
A.
Mangosuthu
Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
-
B.
Khumalo
Khumalo is a common Southern African surname associated with notable figures in arts, politics, and public life, particularly in South Africa and Zimbabwe.
-
C.
Mandla Gaduka
Mandla Gaduka is a South African actor best known internationally for his role in the science-fiction film "District 9."
-
D.
Thabana Ntlenyana
Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
-
E.
Nquthu
Nquthu is a small town in KwaZulu-Natal, South Africa, known for its rural character and historical significance in the region.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e84e9008190beac0f734864fc21 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f4358d48190a88208a55d19a9ef |
completed | May 17, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a404206e0819080c640619cd277ab |
completed | May 17, 2026, 10:25 p.m. |
Created at: April 16, 2026, 6:53 p.m.