Triple

T5932990
Position Surface form Disambiguated ID Type / Status
Subject Ideeën E131979 entity
Predicate hasPart P35 FINISHED
Object Woutertje Pieterse E137015 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: Woutertje Pieterse | Statement: [Ideeën, hasPart, Woutertje Pieterse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woutertje Pieterse
Context triple: [Ideeën, hasPart, Woutertje Pieterse]
  • A. Woutertje Pieterse chosen
    Woutertje Pieterse is a classic Dutch literary character from Multatuli’s satirical and psychological prose, depicting the inner life and social struggles of a sensitive Amsterdam boy.
  • B. Marijke Meu
    Marijke Meu is the Dutch nickname of Marie Louise of Hesse-Kassel, a German-born princess who became a respected and beloved regent of Friesland in the early 18th century.
  • C. 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.
  • D. Jannetje van der Burch
    Jannetje van der Burch was the wife of Dutch Golden Age painter Pieter de Hooch, known primarily through historical records of his life and family.
  • E. Coosje van Bruggen
    Coosje van Bruggen was a Dutch-American sculptor and art historian best known for her large-scale public art collaborations with her husband Claes Oldenburg.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c064d2a4819096085668182cfde1 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4 p.m.