Triple

T18736118
Position Surface form Disambiguated ID Type / Status
Subject Dirck van Hoogstraten E458167 entity
Predicate name P16 FINISHED
Object Dirck van Hoogstraten NE NERFINISHED

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: Dirck van Hoogstraten | Statement: [Dirck van Hoogstraten, name, Dirck van Hoogstraten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirck van Hoogstraten
Context triple: [Dirck van Hoogstraten, name, Dirck van Hoogstraten]
  • A. Dirck van Hoogstraten chosen
    Dirck van Hoogstraten was a Dutch Golden Age painter known for his genre scenes and as a member of a prominent family of artists.
  • B. Samuel van Hoogstraten
    Samuel van Hoogstraten was a Dutch Golden Age painter, writer, and art theorist known for his trompe-l'œil works and influential treatise on painting.
  • C. Hendrick van Uylenburgh
    Hendrick van Uylenburgh was a prominent 17th-century Dutch art dealer and influential figure in the Amsterdam art world, closely associated with Rembrandt and other leading artists of his time.
  • D. Hendrik de Wit
    Hendrik de Wit is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname De Wit.
  • E. Jan de Wit
    Jan de Wit is a Dutch computer programmer best known for creating the infamous Anna Kournikova email worm that spread rapidly across the internet in 2001.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e57689fa508190ad821d361cba9edf completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.