Triple

T20328039
Position Surface form Disambiguated ID Type / Status
Subject Vilhelm Bohr E492392 entity
Predicate givenName P17 FINISHED
Object Vilhelm 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: Vilhelm | Statement: [Vilhelm Bohr, givenName, Vilhelm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilhelm
Context triple: [Vilhelm Bohr, 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. Vilhelm Kyhn
    Vilhelm Kyhn was a Danish landscape painter of the 19th century, known for his naturalistic depictions of the Danish countryside and his influence as a teacher on later artists.
  • C. 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.
  • D. Vilhelm Dahlerup
    Vilhelm Dahlerup was a prominent 19th-century Danish architect known for his richly historicist style and major contributions to Copenhagen’s urban and cultural landmarks.
  • E. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e513608190b70527cd9f4d5da3 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:21 a.m.