Triple

T11986386
Position Surface form Disambiguated ID Type / Status
Subject D. H. Th. Vollenhoven E285289 entity
Predicate givenName P17 FINISHED
Object Hendrik E104689 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: Hendrik | Statement: [D. H. Th. Vollenhoven, givenName, Hendrik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hendrik
Context triple: [D. H. Th. Vollenhoven, givenName, Hendrik]
  • A. Hendrik chosen
    Hendrik is a masculine given name of Germanic origin, commonly used in Dutch- and German-speaking countries and related to the name Henry.
  • B. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • C. Adriaan
    Adriaan is a masculine given name of Dutch origin commonly used in the Netherlands and other Dutch-speaking regions.
  • D. Leendert
    Leendert is a Dutch masculine given name, notably borne by mathematician Bartel Leendert van der Waerden.
  • E. Dirck
    Dirck is a Dutch masculine given name historically borne by several notable figures, including artists of the Dutch Golden Age.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47237c23081909044388ff5dc73b3 completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.