Triple

T8343220
Position Surface form Disambiguated ID Type / Status
Subject Oliver Tambo E195972 entity
Predicate familyName P18 FINISHED
Object Tambo
Tambo is a South African surname most prominently associated with anti-apartheid leader Oliver Tambo.
 E728571 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: Tambo | Statement: [Oliver Tambo, familyName, Tambo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tambo
Context triple: [Oliver Tambo, familyName, Tambo]
  • A. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • B. Makgoba
    Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
  • C. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • D. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • E. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • 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: Tambo
Triple: [Oliver Tambo, familyName, Tambo]
Generated description
Tambo is a South African surname most prominently associated with anti-apartheid leader Oliver Tambo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tambo
Target entity description: Tambo is a South African surname most prominently associated with anti-apartheid leader Oliver Tambo.
  • A. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • B. Makgoba
    Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
  • C. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • D. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • E. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7febde288190bf4677fb24d26b83 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc733f7848190ab60098cb178dbfc completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcc8596888190867bb0f298b6fac1 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd14de9408190a5522fbdbef4d748 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 5:58 p.m.