Triple

T18739401
Position Surface form Disambiguated ID Type / Status
Subject Francois Pienaar E458250 entity
Predicate child P120 FINISHED
Object Stefan Pienaar 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: Stefan Pienaar | Statement: [Francois Pienaar, child, Stefan Pienaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefan Pienaar
Context triple: [Francois Pienaar, child, Stefan Pienaar]
  • A. Stefan Pienaar chosen
    Stefan Pienaar is known as one of the sons of former South African rugby union captain Francois Pienaar.
  • B. Steven Pienaar
    Steven Pienaar is a retired South African professional footballer best known as a creative attacking midfielder for clubs such as Ajax, Borussia Dortmund, and Everton, as well as the South African national team.
  • C. Dan Pienaar
    Dan Pienaar was a prominent South African Army general best known for his leadership of South African forces during key campaigns of the Second World War, particularly in North Africa.
  • D. André Joubert
    André Joubert is a former South African rugby union fullback renowned for his attacking flair and key role in the Springboks’ 1995 Rugby World Cup victory.
  • E. Schalk van der Merwe
    Schalk van der Merwe was a South African professional tennis player active primarily in the late 1970s and early 1980s.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768ca990819098102f8522ce401f completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.