Triple

T20379143
Position Surface form Disambiguated ID Type / Status
Subject Utrecht school of painting E497772 entity
Predicate hasMember P10 FINISHED
Object Matthias Stom E1143309 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: Matthias Stom | Statement: [Utrecht school of painting, hasMember, Matthias Stom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthias Stom
Context triple: [Utrecht school of painting, hasMember, Matthias Stom]
  • A. Matthias Stom chosen
    Matthias Stom was a Dutch Golden Age painter known for his dramatic, Caravaggio-inspired use of chiaroscuro and religious scenes.
  • B. Johannes de Decker
    Johannes de Decker was a 17th-century Dutch figure known primarily as the dedicatee of Benedictus de Spinoza’s work "Principles of Cartesian Philosophy."
  • C. Jan Matthys
    Jan Matthys was a 16th-century Dutch Anabaptist preacher and radical reformer who played a central role in establishing the short-lived theocratic regime in Münster.
  • D. Johan van der Mey
    Johan van der Mey was a Dutch architect best known as one of the leading figures and early pioneers of the Amsterdam School movement in architecture.
  • E. Maarten ’t Hart
    Maarten ’t Hart is a Dutch writer and biologist known for his psychologically rich novels and essays, often drawing on his strict religious upbringing and love of classical music.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678af651c8190b4922294a937e699 completed April 20, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087095286c8190afdcb855220526fc completed May 16, 2026, 1:26 p.m.
Created at: April 16, 2026, 11:27 a.m.