Triple

T2531153
Position Surface form Disambiguated ID Type / Status
Subject Thabo Makgoba E56161 entity
Predicate givenName P17 FINISHED
Object Thabo
Thabo is a common Southern African given name, often used in countries such as South Africa and Lesotho.
E291262 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: Thabo | Statement: [Thabo Makgoba, givenName, Thabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thabo
Context triple: [Thabo Makgoba, givenName, Thabo]
  • A. Thabana Ntlenyana
    Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
  • B. Zwelibanzi Hlongwane
    Zwelibanzi Hlongwane is a South African businessman best known as the former husband of Zindzi Mandela, the daughter of Nelson Mandela.
  • C. Popo Molefe
    Popo Molefe is a South African anti-apartheid activist and politician who played a prominent leadership role in the struggle against apartheid and later in democratic governance.
  • D. Sabata Dalindyebo
    Sabata Dalindyebo was a prominent South African traditional leader and king of the Thembu people who became known for his resistance to apartheid-era policies.
  • E. Mahlamba Ndlopfu
    Mahlamba Ndlopfu is the official presidential residence of South Africa, located in the Bryntirion Estate in Pretoria.
  • 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: Thabo
Triple: [Thabo Makgoba, givenName, Thabo]
Generated description
Thabo is a common Southern African given name, often used in countries such as South Africa and Lesotho.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thabo
Target entity description: Thabo is a common Southern African given name, often used in countries such as South Africa and Lesotho.
  • A. Thabana Ntlenyana
    Thabana Ntlenyana is the highest mountain in southern Africa, located in the Drakensberg range within Lesotho.
  • B. Zwelibanzi Hlongwane
    Zwelibanzi Hlongwane is a South African businessman best known as the former husband of Zindzi Mandela, the daughter of Nelson Mandela.
  • C. Popo Molefe
    Popo Molefe is a South African anti-apartheid activist and politician who played a prominent leadership role in the struggle against apartheid and later in democratic governance.
  • D. Sabata Dalindyebo
    Sabata Dalindyebo was a prominent South African traditional leader and king of the Thembu people who became known for his resistance to apartheid-era policies.
  • E. Mahlamba Ndlopfu
    Mahlamba Ndlopfu is the official presidential residence of South Africa, located in the Bryntirion Estate in Pretoria.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2781700819091ffc32244d9efe2 completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf3b61fc8190988484bedc5b57a0 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afb0bf48a481908edc45d17dc4a25d completed March 10, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69afb12ecf208190b5f486f1b81e1dcd completed March 10, 2026, 5:50 a.m.
Created at: March 6, 2026, 9:46 p.m.