Triple

T22139485
Position Surface form Disambiguated ID Type / Status
Subject Mbuyazi kaMpande E547119 entity
Predicate mother P120 FINISHED
Object Nomantshali
Nomantshali was a Zulu woman of royal lineage, known primarily as the mother of Prince Mbuyazi kaMpande, a contender for the Zulu throne in the mid-19th century.
E1520960 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: Nomantshali | Statement: [Mbuyazi kaMpande, mother, Nomantshali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nomantshali
Context triple: [Mbuyazi kaMpande, mother, Nomantshali]
  • A. Motele
    Motele is a small town in present-day Belarus, historically part of the Pale of Settlement and home to a notable Jewish community.
  • B. Shushufindi
    Shushufindi is an oil-producing town in northeastern Ecuador known for its role in the country’s Amazonian petroleum industry.
  • C. Motavita
    Motavita is a small municipality in the Boyacá Department of Colombia, known for its rural Andean landscapes and proximity to the city of Tunja.
  • D. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • E. Motshegetsi
    Motshegetsi is the full given name of Motsi Mabuse, the South African-born professional dancer and television personality.
  • 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: Nomantshali
Triple: [Mbuyazi kaMpande, mother, Nomantshali]
Generated description
Nomantshali was a Zulu woman of royal lineage, known primarily as the mother of Prince Mbuyazi kaMpande, a contender for the Zulu throne in the mid-19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nomantshali
Target entity description: Nomantshali was a Zulu woman of royal lineage, known primarily as the mother of Prince Mbuyazi kaMpande, a contender for the Zulu throne in the mid-19th century.
  • A. Motele
    Motele is a small town in present-day Belarus, historically part of the Pale of Settlement and home to a notable Jewish community.
  • B. Shushufindi
    Shushufindi is an oil-producing town in northeastern Ecuador known for its role in the country’s Amazonian petroleum industry.
  • C. Motavita
    Motavita is a small municipality in the Boyacá Department of Colombia, known for its rural Andean landscapes and proximity to the city of Tunja.
  • D. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • E. Motshegetsi
    Motshegetsi is the full given name of Motsi Mabuse, the South African-born professional dancer and television personality.
  • 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.