Triple

T5339852
Position Surface form Disambiguated ID Type / Status
Subject Remonstrants E123917 entity
Predicate keyFigure P256 FINISHED
Object Johannes Uytenbogaert E138829 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: Johannes Uytenbogaert | Statement: [Remonstrants, keyFigure, Johannes Uytenbogaert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johannes Uytenbogaert
Context triple: [Remonstrants, keyFigure, Johannes Uytenbogaert]
  • A. Johannes Uytenbogaert chosen
    Johannes Uytenbogaert was a leading Dutch Remonstrant minister and theologian of the early 17th century, known as a chief spokesman for Arminianism in the Netherlands.
  • B. Cédric Van Styvendael
    Cédric Van Styvendael is a French politician who serves as the mayor of the city of Villeurbanne, near Lyon.
  • C. Rogier Stoffers
    Rogier Stoffers is a Dutch cinematographer known for his work on a range of international films and television productions.
  • D. Frederik Kortlandt
    Frederik Kortlandt is a Dutch linguist and Indo-Europeanist known for his influential and often controversial work on the reconstruction of Proto-Indo-European and the relationships among its daughter branches.
  • E. Jean-François Van Geel
    Jean-François Van Geel was a Belgian sculptor best known for creating the monumental lion statue atop the Lion’s Mound at Waterloo.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85c9cff48190900d234a7569cd5d completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21c20364819093387aa0e60b4291 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 2 p.m.