Triple

T5493038
Position Surface form Disambiguated ID Type / Status
Subject Vilhelm Bjerknes E123746 entity
Predicate givenName P17 FINISHED
Object Vilhelm E331997 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: Vilhelm | Statement: [Vilhelm Bjerknes, givenName, Vilhelm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilhelm
Context triple: [Vilhelm Bjerknes, givenName, Vilhelm]
  • A. Vilhelm chosen
    Vilhelm is a masculine given name of Germanic origin, related to William and common in various Scandinavian and European countries.
  • B. Emil Hansen
    Emil Hansen, better known as Emil Nolde, was a pioneering German-Danish Expressionist painter famed for his vivid color, emotional intensity, and influential religious and floral works.
  • C. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • D. Edvard
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • E. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9281a0148190bb7a8dae9c991b9c completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c8fb5688190b29f27ce13324943 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.