Triple

T3866682
Position Surface form Disambiguated ID Type / Status
Subject Jan van Goyen E91873 entity
Predicate influenced P9 FINISHED
Object Jacob van Ruisdael E20755 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: Jacob van Ruisdael | Statement: [Jan van Goyen, influenced, Jacob van Ruisdael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jacob van Ruisdael
Context triple: [Jan van Goyen, influenced, Jacob van Ruisdael]
  • A. Jacob van Ruisdael chosen
    Jacob van Ruisdael was a preeminent 17th-century Dutch landscape painter renowned for his dramatic, atmospheric depictions of nature and profound influence on European landscape art.
  • B. Isaack van Ruisdael
    Isaack van Ruisdael was a Dutch Golden Age painter and the father of renowned landscape artist Jacob van Ruisdael.
  • C. Salomon van Ruysdael
    Salomon van Ruysdael was a prominent Dutch Golden Age landscape painter known for his atmospheric river scenes and rural views.
  • D. Meindert Hobbema
    Meindert Hobbema was a Dutch Golden Age landscape painter renowned for his detailed depictions of wooded scenes and country roads.
  • E. 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.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3b8d988190b56d42ac1521e19c completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c3151e8819082d72756875a9b1d completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:19 p.m.