Triple

T406258
Position Surface form Disambiguated ID Type / Status
Subject Nelson Mandela E9390 entity
Predicate givenName P17 FINISHED
Object Rolihlahla
Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
 E51205 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: Rolihlahla | Statement: [Nelson Mandela, givenName, Rolihlahla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rolihlahla
Context triple: [Nelson Mandela, givenName, Rolihlahla]
  • A. Siyani
    Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
  • B. Ladysmith
    Ladysmith is a South African town in KwaZulu-Natal best known as a key site of the Second Boer War, particularly the famous Siege of Ladysmith.
  • C. Funza
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • D. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • E. Lozi
    Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
  • 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: Rolihlahla
Triple: [Nelson Mandela, givenName, Rolihlahla]
Generated description
Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rolihlahla
Target entity description: Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
  • A. Siyani
    Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
  • B. Ladysmith
    Ladysmith is a South African town in KwaZulu-Natal best known as a key site of the Second Boer War, particularly the famous Siege of Ladysmith.
  • C. Funza
    Funza is a municipality and town in the Bogotá metropolitan area of central Colombia, known for its agricultural activity and proximity to the capital.
  • D. Kasulu
    Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
  • E. Lozi
    Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecbc00508190bbb602179273f29c completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f75e5481908b7a0f070dec5c56 completed March 1, 2026, 10:24 a.m.
NEDg Description generation batch_69a41464d2a8819085ee2fc8a86a7628 completed March 1, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69a414a7aff08190ab54f4118cec790d completed March 1, 2026, 10:27 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.