Triple

T4630204
Position Surface form Disambiguated ID Type / Status
Subject Jan van de Velde the Younger E101394 entity
Predicate familyName P18 FINISHED
Object van de Velde E373072 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: van de Velde | Statement: [Jan van de Velde the Younger, familyName, van de Velde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van de Velde
Context triple: [Jan van de Velde the Younger, familyName, van de Velde]
  • A. van de Velde chosen
    Van de Velde is a Dutch surname borne by several notable figures, including artists, designers, and writers from the Low Countries.
  • B. 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.
  • C. Willem van der Vliet
    Willem van der Vliet was a Dutch Golden Age painter from Delft, known for his portraits and history paintings and as an early mentor to his nephew Hendrick Cornelisz. van Vliet.
  • D. Jan Verkolje
    Jan Verkolje was a 17th-century Dutch painter and mezzotint engraver known for his portraits and genre scenes in the Baroque style.
  • E. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a316ef48190831970ec914cf5a2 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab992148190a1b1dfa33b971d11 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.