Triple

T11327539
Position Surface form Disambiguated ID Type / Status
Subject Andrew Mlangeni E268260 entity
Predicate familyName P18 FINISHED
Object Mlangeni
Mlangeni is a South African surname most notably associated with anti-apartheid activist and Rivonia Trialist Andrew Mlangeni.
 E925406 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: Mlangeni | Statement: [Andrew Mlangeni, familyName, Mlangeni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mlangeni
Context triple: [Andrew Mlangeni, familyName, Mlangeni]
  • A. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • B. Hlengwe
    Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
  • C. Mvila
    Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
  • D. Mhlaba
    Mhlaba is a surname most notably associated with Raymond Mhlaba, a prominent South African anti-apartheid activist and politician.
  • E. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • 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: Mlangeni
Triple: [Andrew Mlangeni, familyName, Mlangeni]
Generated description
Mlangeni is a South African surname most notably associated with anti-apartheid activist and Rivonia Trialist Andrew Mlangeni.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mlangeni
Target entity description: Mlangeni is a South African surname most notably associated with anti-apartheid activist and Rivonia Trialist Andrew Mlangeni.
  • A. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • B. Hlengwe
    Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
  • C. Mvila
    Mvila is an administrative department in Cameroon's South Region, known for its local governance role and regional cultural diversity.
  • D. Mhlaba
    Mhlaba is a surname most notably associated with Raymond Mhlaba, a prominent South African anti-apartheid activist and politician.
  • E. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d31322d48190aa93b7707ba6fb47 completed April 20, 2026, 7:17 a.m.
NEDg Description generation batch_69e5d615b6a08190b6000339bec4270d completed April 20, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_69e5d924963c8190bfc55ffeb529a499 completed April 20, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:32 p.m.