Triple

T20297791
Position Surface form Disambiguated ID Type / Status
Subject A United Kingdom E505397 entity
Predicate starredActor P5563 FINISHED
Object Vusi Kunene NE NERFINISHED

How this triple was built (2 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: Vusi Kunene | Statement: [A United Kingdom, starredActor, Vusi Kunene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vusi Kunene
Context triple: [A United Kingdom, starredActor, Vusi Kunene]
  • A. Vusi Kunene chosen
    Vusi Kunene is a South African actor best known for his powerful performances in film and television, particularly in the drama series "Generations" and "Isibaya."
  • B. Mokgweetsi Masisi
    Mokgweetsi Masisi is a Botswanan politician who serves as the country's president and leader of the Botswana Democratic Party.
  • C. Keo Motsepe
    Keo Motsepe is a South African professional Latin and ballroom dancer best known for his long-running role as a pro on the U.S. television show "Dancing with the Stars."
  • D. Moroka Lembede
    Moroka Lembede was a South African anti-apartheid activist and founding president of the African National Congress Youth League, known for his influential role in shaping militant African nationalism.
  • E. Lemogang Tsipa
    Lemogang Tsipa is a South African actor known for his roles in international film and television productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677095fb481909806214da4002b59 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.