Triple

T4590825
Position Surface form Disambiguated ID Type / Status
Subject Ludolf Bakhuizen E103482 entity
Predicate name P16 FINISHED
Object Ludolf Bakhuizen E103482 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: Ludolf Bakhuizen | Statement: [Ludolf Bakhuizen, name, Ludolf Bakhuizen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludolf Bakhuizen
Context triple: [Ludolf Bakhuizen, name, Ludolf Bakhuizen]
  • A. Ludolf Bakhuizen chosen
    Ludolf Bakhuizen was a prominent 17th-century Dutch Golden Age painter renowned for his dramatic marine scenes and seascapes.
  • B. Dirck van Delen
    Dirck van Delen was a Dutch Golden Age painter renowned for his meticulously rendered architectural and church interior scenes.
  • C. Ferdinand Bolstraat
    Ferdinand Bolstraat is a well-known street in Amsterdam, Netherlands, lined with shops, cafes, and residential buildings in the De Pijp neighborhood.
  • D. Dirck van der Lisse
    Dirck van der Lisse was a 17th-century Dutch Golden Age painter known for his landscapes and association with the circle of Jan van Goyen.
  • E. Dirck van Bleyswijck
    Dirck van Bleyswijck was a 17th-century Dutch writer and city official from Delft, best known for his detailed topographical and historical description of the city.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5923c0c88190952137d448d474cf completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa39eb9c8190a41599713136994a completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.