Triple

T3811137
Position Surface form Disambiguated ID Type / Status
Subject Jan Verkade E93136 entity
Predicate name P16 FINISHED
Object Jan Verkade E93136 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: Jan Verkade | Statement: [Jan Verkade, name, Jan Verkade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Verkade
Context triple: [Jan Verkade, name, Jan Verkade]
  • A. Jan Verkade chosen
    Jan Verkade was a Dutch Post-Impressionist painter associated with the Pont-Aven School and the Nabis, known for his synthetist style and later life as a Benedictine monk.
  • B. Willem Delff
    Willem Delff was a Dutch Golden Age engraver and painter from Delft, known for his detailed reproductive engravings after prominent artists of his time.
  • C. Jan Verkolje
    Jan Verkolje was a 17th-century Dutch painter and mezzotint engraver known for his portraits and genre scenes in the Baroque style.
  • D. Jan van der Vliet
    Jan van der Vliet was a Dutch artist associated with the Delft painters’ Guild of Saint Luke during the Dutch Golden Age.
  • E. Jan van der Heyden
    Jan van der Heyden was a 17th-century Dutch painter and inventor renowned for his detailed cityscapes and pioneering improvements in firefighting technology and street lighting.
  • 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_69aed96a60088190ab1df8390fffc935 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aee80faaa88190b05f8aec8aa5c44d completed March 9, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589bcbce88190b97b9dcec8a976f4 completed March 14, 2026, 4:15 p.m.
Created at: March 9, 2026, 3:16 p.m.