Triple

T1875813
Position Surface form Disambiguated ID Type / Status
Subject Homomonument E39140 entity
Predicate architect P184 FINISHED
Object Karin Daan E221172 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: Karin Daan | Statement: [Homomonument, architect, Karin Daan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karin Daan
Context triple: [Homomonument, architect, Karin Daan]
  • A. Karin Daan chosen
    Karin Daan is a Dutch artist and designer best known for creating the Homomonument in Amsterdam, one of the world’s first monuments commemorating LGBTQ+ persecution and struggle.
  • B. Sjoukje Ozinga
    Sjoukje Ozinga was the mother of Saskia van Uylenburgh, the Dutch woman best known as the wife and muse of painter Rembrandt van Rijn.
  • C. Iris Steensma
    Iris Steensma is the troubled teenage prostitute character from Martin Scorsese’s 1976 film "Taxi Driver," whose role became iconic through Jodie Foster’s acclaimed performance.
  • D. Anna van Egmond
    Anna van Egmond was a 16th-century Dutch noblewoman and heiress who became the first wife of William the Silent, Prince of Orange.
  • E. Anna van Gelder
    Anna van Gelder was the wife of famed Dutch admiral Michiel de Ruyter and a member of the Dutch bourgeoisie in the 17th century.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d902ac8190a2d9bb6f683986e4 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0abe93f88190869b17557098ebbe completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:34 p.m.