Triple

T20205010
Position Surface form Disambiguated ID Type / Status
Subject Wouter J. Hanegraaff E493327 entity
Predicate givenName P17 FINISHED
Object Wouter 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: Wouter | Statement: [Wouter J. Hanegraaff, givenName, Wouter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wouter
Context triple: [Wouter J. Hanegraaff, givenName, Wouter]
  • A. Wouter chosen
    Wouter is a Dutch historian of religion and leading scholar of Western esotericism.
  • B. Sebastiaan
    Sebastiaan is a given name, primarily used in Dutch-speaking regions, that corresponds to the name Sébastien.
  • C. Adriaan
    Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
  • D. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • E. Marius de Jonge
    Marius de Jonge is a Dutch biblical scholar known for his influential work on New Testament studies and early Christianity.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d913c088190b80b251fba5c368f completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.