Triple

T19305617
Position Surface form Disambiguated ID Type / Status
Subject Cornelis Evertsen the Elder E482819 entity
Predicate familyName P18 FINISHED
Object Evertsen 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: Evertsen | Statement: [Cornelis Evertsen the Elder, familyName, Evertsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evertsen
Context triple: [Cornelis Evertsen the Elder, familyName, Evertsen]
  • A. Evertsen chosen
    Evertsen is a Dutch surname historically associated with a prominent family of naval officers in the Dutch Republic.
  • B. Zwanenburg
    Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
  • C. Vollenhoven
    Vollenhoven is a Dutch surname most notably associated with philosopher D. H. Th. Vollenhoven, a key figure in Reformational philosophy.
  • D. Voskuijl
    Voskuijl is a Dutch surname most notably associated with Bep Voskuijl, one of the helpers of Anne Frank and her family during their time in hiding.
  • E. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c84fe08190869463bdd0324160 completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.