Triple

T19005174
Position Surface form Disambiguated ID Type / Status
Subject Sarah Sze E465059 entity
Predicate representedBy P1748 FINISHED
Object Victoria Miro 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: Victoria Miro | Statement: [Sarah Sze, representedBy, Victoria Miro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Miro
Context triple: [Sarah Sze, representedBy, Victoria Miro]
  • A. Victoria Miro chosen
    Victoria Miro is a prominent British art dealer and gallerist known for representing leading contemporary artists and operating one of London’s most influential contemporary art galleries.
  • B. Myriam Ullens
    Myriam Ullens was a Belgian philanthropist, art collector, and entrepreneur best known for her major contributions to contemporary art and education, particularly in China.
  • C. Florence Kleiner
    Florence Kleiner is a fictional character portrayed by actress Florence Halop, best known from the American sitcom "Night Court."
  • D. Rose Mayer
    Rose Mayer was the wife of influential German physician and pathologist Rudolf Virchow, a key figure in 19th-century medical and scientific circles.
  • E. Beverly Sackler
    Beverly Sackler was an American philanthropist and member of the Sackler family, known for her extensive support of scientific, medical, and educational institutions.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a494688190a277b2cddf300235 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.