Triple

T19521449
Position Surface form Disambiguated ID Type / Status
Subject How She Move E488409 entity
Predicate cinematographyBy P1953 FINISHED
Object André Pienaar
André Pienaar is a cinematographer known for his work on the Canadian dance drama film "How She Move."
E1380305 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: André Pienaar | Statement: [How She Move, cinematographyBy, André Pienaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André Pienaar
Context triple: [How She Move, cinematographyBy, André Pienaar]
  • A. Stefan Pienaar
    Stefan Pienaar is known as one of the sons of former South African rugby union captain Francois Pienaar.
  • B. Jaco Pienaar
    Jaco Pienaar is a relatively obscure individual whose primary public mention appears to be as a namesake of the surname Pienaar.
  • C. 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.
  • D. Schalk van der Merwe
    Schalk van der Merwe was a South African professional tennis player active primarily in the late 1970s and early 1980s.
  • E. 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.
  • 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: André Pienaar
Triple: [How She Move, cinematographyBy, André Pienaar]
Generated description
André Pienaar is a cinematographer known for his work on the Canadian dance drama film "How She Move."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: André Pienaar
Target entity description: André Pienaar is a cinematographer known for his work on the Canadian dance drama film "How She Move."
  • A. Stefan Pienaar
    Stefan Pienaar is known as one of the sons of former South African rugby union captain Francois Pienaar.
  • B. Jaco Pienaar
    Jaco Pienaar is a relatively obscure individual whose primary public mention appears to be as a namesake of the surname Pienaar.
  • C. 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.
  • D. Schalk van der Merwe
    Schalk van der Merwe was a South African professional tennis player active primarily in the late 1970s and early 1980s.
  • E. 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.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a0b37c8190b70b7427c2e85f59 completed April 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07472af0b881909e5bada0955b52bb completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0747f6b1d48190a3e70576ddb4feb2 completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a07492259488190a8c405598f9c8878 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:40 p.m.