Triple

T6074849
Position Surface form Disambiguated ID Type / Status
Subject Johan Fredrik Eckersberg E135373 entity
Predicate studiedUnder P7251 FINISHED
Object Hans Gude E133698 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: Hans Gude | Statement: [Johan Fredrik Eckersberg, studiedUnder, Hans Gude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Gude
Context triple: [Johan Fredrik Eckersberg, studiedUnder, Hans Gude]
  • A. Hans Gude chosen
    Hans Gude was a prominent 19th-century Norwegian Romantic landscape painter known for his dramatic depictions of Nordic nature and seascapes.
  • B. Johan Fredrik Eckersberg
    Johan Fredrik Eckersberg was a 19th-century Norwegian painter known for his landscape and genre scenes and for helping shape the development of Norwegian art.
  • C. Peder Balke
    Peder Balke was a 19th-century Norwegian painter known for his dramatic, atmospheric landscapes of the Nordic coast and wilderness.
  • D. Johan Christian Dahl
    Johan Christian Dahl was a pioneering 19th-century Norwegian Romantic landscape painter, often regarded as the father of Norwegian landscape art.
  • E. Frits Thaulow
    Frits Thaulow was a Norwegian Impressionist painter renowned for his atmospheric landscapes and masterful depictions of water and rural scenes.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0575d4ed481908eddc88e9b90e22f completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3b108c48190a11ad1a9440fcb12 completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:11 p.m.