Triple

T23390803
Position Surface form Disambiguated ID Type / Status
Subject Mkabayi kaDinuzulu E594010 entity
Predicate givenName P17 FINISHED
Object Mkabayi
Mkabayi is a historical Zulu princess and political figure known for her significant influence in the royal succession and governance of the Zulu kingdom.
E1586436 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: Mkabayi | Statement: [Mkabayi kaDinuzulu, givenName, Mkabayi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mkabayi
Context triple: [Mkabayi kaDinuzulu, givenName, Mkabayi]
  • A. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • B. Mkushi
    Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
  • C. Mbaïki
    Mbaïki is a town in the Central African Republic that serves as an important regional center southwest of the capital, Bangui.
  • D. Mgbuoba
    Mgbuoba is a suburban community in Port Harcourt, Rivers State, Nigeria, known for its residential estates and growing commercial activity.
  • E. Mbula
    Mbula is an ethnic group in Nigeria known for its distinct language and cultural traditions, living in close proximity to the Bachama people.
  • 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: Mkabayi
Triple: [Mkabayi kaDinuzulu, givenName, Mkabayi]
Generated description
Mkabayi is a historical Zulu princess and political figure known for her significant influence in the royal succession and governance of the Zulu kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mkabayi
Target entity description: Mkabayi is a historical Zulu princess and political figure known for her significant influence in the royal succession and governance of the Zulu kingdom.
  • A. Mukuzani
    Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
  • B. Mkushi
    Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
  • C. Mbaïki
    Mbaïki is a town in the Central African Republic that serves as an important regional center southwest of the capital, Bangui.
  • D. Mgbuoba
    Mgbuoba is a suburban community in Port Harcourt, Rivers State, Nigeria, known for its residential estates and growing commercial activity.
  • E. Mbula
    Mbula is an ethnic group in Nigeria known for its distinct language and cultural traditions, living in close proximity to the Bachama people.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49bdfec8190afa592c66660c279 completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67930004819095efa4bd21a14666 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7213e19881909151fe5c0560e096 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76ed37b08190af81b4ae2dc7c028 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:35 p.m.