Triple

T1375282
Position Surface form Disambiguated ID Type / Status
Subject Peter Andreas Munch E29207 entity
Predicate name P16 FINISHED
Object Peter Andreas Munch E29207 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: Peter Andreas Munch | Statement: [Peter Andreas Munch, name, Peter Andreas Munch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Andreas Munch
Context triple: [Peter Andreas Munch, name, Peter Andreas Munch]
  • A. Peter Andreas Munch chosen
    Peter Andreas Munch was a prominent 19th-century Norwegian historian and scholar known for his pioneering work on Norway’s medieval history and national identity.
  • B. Peder Balke
    Peder Balke was a 19th-century Norwegian painter known for his dramatic, atmospheric landscapes of the Nordic coast and wilderness.
  • C. Adolph Tidemand
    Adolph Tidemand was a 19th-century Norwegian painter renowned for his detailed depictions of rural life and national romantic themes.
  • D. Hans Gude
    Hans Gude was a prominent 19th-century Norwegian Romantic landscape painter known for his dramatic depictions of Nordic nature and seascapes.
  • E. Einar Lie
    Einar Lie is a Norwegian economic historian and professor known for his research on Norway’s economic policy, financial history, and the development of the welfare state.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2f7aeb08190b52ef1058c18327e completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232309c88190a4ba4f6de7b44035 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 7:59 p.m.