Triple

T6005450
Position Surface form Disambiguated ID Type / Status
Subject Hans Gude E133698 entity
Predicate name P16 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: [Hans Gude, name, Hans Gude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Gude
Context triple: [Hans Gude, name, 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f128354819088971ee398cbda77 completed March 22, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14143bf008190ba804ae094ffb71c completed March 23, 2026, 1:33 p.m.
Created at: March 22, 2026, 4:06 p.m.