Triple

T19252322
Position Surface form Disambiguated ID Type / Status
Subject Matthijs Bril E481423 entity
Predicate influenced P9 FINISHED
Object Paul Bril 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: Paul Bril | Statement: [Matthijs Bril, influenced, Paul Bril]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Bril
Context triple: [Matthijs Bril, influenced, Paul Bril]
  • A. Balthasar van der Ast
    Balthasar van der Ast was a Dutch Golden Age painter renowned for his detailed still lifes featuring flowers, shells, and insects.
  • B. Nicolaes de Bruyn
    Nicolaes de Bruyn was a Flemish engraver active around the late 16th and early 17th centuries, known for his large-scale, finely detailed prints often based on designs by other artists.
  • C. Roelant Savery
    Roelant Savery was a Dutch Golden Age painter and draughtsman known for his detailed landscapes, animal studies, and imaginative depictions of exotic creatures such as the dodo.
  • D. Paulus Bril chosen
    Paulus Bril was a Flemish late Renaissance painter and draftsman best known for his influential Italianate landscape paintings created in Rome.
  • E. Joachim Wtewael
    Joachim Wtewael was a Dutch Mannerist painter and draftsman of the late 16th and early 17th centuries, known for his highly detailed, vividly colored religious and mythological scenes.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb31f8ac81909cd9a417b60f86a8 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.