Triple

T10537290
Position Surface form Disambiguated ID Type / Status
Subject Jeff Fenech E248601 entity
Predicate trained P3665 FINISHED
Object Lovemore N’dou
Lovemore N’dou is a South African-born Australian former professional boxer who became a world champion in the light-welterweight division.
 E869839 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: Lovemore N’dou | Statement: [Jeff Fenech, trained, Lovemore N’dou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lovemore N’dou
Context triple: [Jeff Fenech, trained, Lovemore N’dou]
  • A. Radebe
    Radebe is a South African surname associated with several prominent figures in business, politics, and sports.
  • B. Wamkele Mene
    Wamkele Mene is a South African trade expert and diplomat who serves as the inaugural Secretary-General of the African Continental Free Trade Area (AfCFTA).
  • C. Luke Malaba
    Luke Malaba is a Zimbabwean jurist who has served as the Chief Justice of Zimbabwe.
  • D. Zola Mafu
    Zola Mafu is a South African woman best known as one of the wives of the late Zulu King Goodwill Zwelithini kaBhekuzulu.
  • E. Winston Ntshona
    Winston Ntshona was a South African actor and playwright renowned for his politically charged stage work and his collaborations with Athol Fugard and John Kani, including the Tony Award-winning play "Sizwe Banzi Is Dead."
  • 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: Lovemore N’dou
Triple: [Jeff Fenech, trained, Lovemore N’dou]
Generated description
Lovemore N’dou is a South African-born Australian former professional boxer who became a world champion in the light-welterweight division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lovemore N’dou
Target entity description: Lovemore N’dou is a South African-born Australian former professional boxer who became a world champion in the light-welterweight division.
  • A. Radebe
    Radebe is a South African surname associated with several prominent figures in business, politics, and sports.
  • B. Wamkele Mene
    Wamkele Mene is a South African trade expert and diplomat who serves as the inaugural Secretary-General of the African Continental Free Trade Area (AfCFTA).
  • C. Luke Malaba
    Luke Malaba is a Zimbabwean jurist who has served as the Chief Justice of Zimbabwe.
  • D. Zola Mafu
    Zola Mafu is a South African woman best known as one of the wives of the late Zulu King Goodwill Zwelithini kaBhekuzulu.
  • E. Winston Ntshona
    Winston Ntshona was a South African actor and playwright renowned for his politically charged stage work and his collaborations with Athol Fugard and John Kani, including the Tony Award-winning play "Sizwe Banzi Is Dead."
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a554fb4819081e9618bab051dc6 completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e5b827881909e87651a88976f18 completed April 10, 2026, 2:51 p.m.
NEDg Description generation batch_69d9107f488481908845aef0fdf6d60d completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911790010819093fc50952502fd59 completed April 10, 2026, 3:04 p.m.
Created at: April 6, 2026, 12:31 p.m.