Triple
T5679761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Shaka Zulu |
E125170
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Nandi kaBhebhe
Nandi kaBhebhe was a Zulu princess and influential queen mother best known as the mother of the famed Zulu king Shaka.
|
E538307
|
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: Nandi kaBhebhe | Statement: [King Shaka Zulu, mother, Nandi kaBhebhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandi kaBhebhe Context triple: [King Shaka Zulu, mother, Nandi kaBhebhe]
-
A.
Puthandu
Puthandu is the Tamil New Year festival, celebrated primarily in the Indian state of Tamil Nadu and by Tamil communities worldwide with rituals, feasting, and cultural traditions.
-
B.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
C.
Gcaleka kaPhalo
Gcaleka kaPhalo was a paramount chief of the Xhosa people and the ancestor of the Gcaleka royal lineage in what is now South Africa.
-
D.
Ngwenyama
Ngwenyama is the traditional Swazi royal title meaning "lion," used for the reigning king of Eswatini.
-
E.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
- 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: Nandi kaBhebhe Triple: [King Shaka Zulu, mother, Nandi kaBhebhe]
Generated description
Nandi kaBhebhe was a Zulu princess and influential queen mother best known as the mother of the famed Zulu king Shaka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nandi kaBhebhe Target entity description: Nandi kaBhebhe was a Zulu princess and influential queen mother best known as the mother of the famed Zulu king Shaka.
-
A.
Puthandu
Puthandu is the Tamil New Year festival, celebrated primarily in the Indian state of Tamil Nadu and by Tamil communities worldwide with rituals, feasting, and cultural traditions.
-
B.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
C.
Gcaleka kaPhalo
Gcaleka kaPhalo was a paramount chief of the Xhosa people and the ancestor of the Gcaleka royal lineage in what is now South Africa.
-
D.
Ngwenyama
Ngwenyama is the traditional Swazi royal title meaning "lion," used for the reigning king of Eswatini.
-
E.
Zindziswa
Zindziswa is the given first name of Zindzi Mandela, the South African diplomat, poet, and daughter of Nelson Mandela and Winnie Madikizela-Mandela.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023960ecc819080a97a37be80c01f |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04dbdd91c8190b2a36d3b2630aa9f |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04ee0ee6c81908f5959bdba54a7ec |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb8ddfc8190a95b86972e659403 |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:44 p.m.