Triple

T17236923
Position Surface form Disambiguated ID Type / Status
Subject Wouwerman E418387 entity
Predicate hasNotableBearer P458 FINISHED
Object Jan Wouwerman 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: Jan Wouwerman | Statement: [Wouwerman, hasNotableBearer, Jan Wouwerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Wouwerman
Context triple: [Wouwerman, hasNotableBearer, Jan Wouwerman]
  • A. Jan van Goyen
    Jan van Goyen was a prominent 17th-century Dutch landscape painter of the Golden Age, known for his tonal, atmospheric river and village scenes.
  • B. Pieter Wouwerman chosen
    Pieter Wouwerman was a Dutch Golden Age painter known for landscapes and equestrian scenes, and the younger brother of the more famous artist Philips Wouwerman.
  • C. Adriaen van de Velde
    Adriaen van de Velde was a 17th-century Dutch Golden Age painter and draughtsman renowned for his refined landscapes, pastoral scenes, and figures.
  • D. Aelbert Cuyp
    Aelbert Cuyp was a prominent 17th-century Dutch Golden Age painter renowned for his luminous, atmospheric landscapes, especially river and pastoral scenes bathed in warm light.
  • E. Meindert Hobbema
    Meindert Hobbema was a Dutch Golden Age landscape painter renowned for his detailed depictions of wooded scenes and country roads.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfbc6e88190a3dd7930fd1681ac completed April 19, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:39 a.m.