Triple

T880031
Position Surface form Disambiguated ID Type / Status
Subject Joost van den Vondel E19004 entity
Predicate familyName P18 FINISHED
Object van den Vondel E19004 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 den Vondel | Statement: [Joost van den Vondel, familyName, van den Vondel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van den Vondel
Context triple: [Joost van den Vondel, familyName, van den Vondel]
  • A. Joost van den Vondel chosen
    Joost van den Vondel was a 17th-century Dutch poet and playwright, widely regarded as one of the greatest writers in the Dutch language.
  • B. 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.
  • C. Cornelis de Man
    Cornelis de Man was a Dutch Golden Age painter known for his detailed genre scenes, portraits, and interiors, active primarily in Delft.
  • D. Esaias van de Velde
    Esaias van de Velde was a Dutch Golden Age painter known for pioneering realistic landscape painting in the early 17th century.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85630f081909f3a912d54dd328c completed March 4, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:39 p.m.