Triple

T22139453
Position Surface form Disambiguated ID Type / Status
Subject Mpande E547118 entity
Predicate child P120 FINISHED
Object Mthonga kaMpande
Mthonga kaMpande was a Zulu prince, one of the sons of King Mpande of the Zulu Kingdom in the 19th century.
E1520959 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: Mthonga kaMpande | Statement: [Mpande, child, Mthonga kaMpande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mthonga kaMpande
Context triple: [Mpande, child, Mthonga kaMpande]
  • A. Senzangakhona
    Senzangakhona was a Zulu chief best known as the father of Shaka Zulu, the famed 19th-century Zulu king and military leader.
  • B. Thabana Ntlenyana
    Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
  • C. Mangosuthu
    Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
  • D. Mandla Gaduka
    Mandla Gaduka is a South African actor best known internationally for his role in the science-fiction film "District 9."
  • E. Mncedisi Shabangu
    Mncedisi Shabangu was a South African actor and theatre director known for his work in film, television, and stage productions.
  • 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: Mthonga kaMpande
Triple: [Mpande, child, Mthonga kaMpande]
Generated description
Mthonga kaMpande was a Zulu prince, one of the sons of King Mpande of the Zulu Kingdom in the 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mthonga kaMpande
Target entity description: Mthonga kaMpande was a Zulu prince, one of the sons of King Mpande of the Zulu Kingdom in the 19th century.
  • A. Senzangakhona
    Senzangakhona was a Zulu chief best known as the father of Shaka Zulu, the famed 19th-century Zulu king and military leader.
  • B. Thabana Ntlenyana
    Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
  • C. Mangosuthu
    Mangosuthu is the given name of Mangosuthu Buthelezi, a prominent South African Zulu prince and political leader.
  • D. Mandla Gaduka
    Mandla Gaduka is a South African actor best known internationally for his role in the science-fiction film "District 9."
  • E. Mncedisi Shabangu
    Mncedisi Shabangu was a South African actor and theatre director known for his work in film, television, and stage productions.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bc7ae881909798c64a4c19adad completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96fa6fc08190b2985b2b350c7336 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97cc77b481909587d3fb58a2a39d completed May 18, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0a983409c4819092262706e79111fc completed May 18, 2026, 4:40 a.m.
Created at: April 16, 2026, 8:32 p.m.