Triple

T5963163
Position Surface form Disambiguated ID Type / Status
Subject National Gallery of Norway E132687 entity
Predicate hasCollectionOf P426 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: [National Gallery of Norway, hasCollectionOf, Hans Gude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Gude
Context triple: [National Gallery of Norway, hasCollectionOf, 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. Malte Grunert
    Malte Grunert is a German film producer best known for his work on the acclaimed 2022 adaptation of "All Quiet on the Western Front."
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a00e444819087f9df62263e83dc completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13557696881909b50c8b72af6878c completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:03 p.m.