Triple

T12669467
Position Surface form Disambiguated ID Type / Status
Subject John Kani E302636 entity
Predicate birthName P65 FINISHED
Object Bonisile John Kani E302636 NE FINISHED

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: Bonisile John Kani | Statement: [John Kani, birthName, Bonisile John Kani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonisile John Kani
Context triple: [John Kani, birthName, Bonisile John Kani]
  • A. John Kani chosen
    John Kani is a renowned South African actor, playwright, and director known for his influential work in theatre and film, as well as his activism against apartheid.
  • B. Adriaan Hendrik Stander
    Adriaan Hendrik Stander was a notable historical figure after whom the South African town of Standerton was named.
  • C. Jonathan Whitehead
    Jonathan Whitehead was a British television composer best known for his distinctive scores for UK comedies such as Brass Eye, Green Wing, and other Channel 4 series.
  • D. Peter Anyang' Nyong'o
    Peter Anyang' Nyong'o is a prominent Kenyan academic and politician who has served in various senior government positions, including as a cabinet minister and governor of Kisumu County.
  • E. Chiwetel Ejiofor
    Chiwetel Ejiofor is an acclaimed British actor known for his powerful performances in films such as "12 Years a Slave," "Doctor Strange," and numerous stage and television roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719fb8bc8190b581a7fcfb252404 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.