Triple

T23222939
Position Surface form Disambiguated ID Type / Status
Subject Sverre Magnus E580941 entity
Predicate name P16 FINISHED
Object Sverre Magnus 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: Sverre Magnus | Statement: [Sverre Magnus, name, Sverre Magnus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sverre Magnus
Context triple: [Sverre Magnus, name, Sverre Magnus]
  • A. Sverre Magnus chosen
    Sverre Magnus is a Norwegian prince, the son of Crown Prince Haakon and Crown Princess Mette-Marit and third in line to the Norwegian throne.
  • B. Sverre of Norway
    Sverre of Norway was a 12th-century king who led a successful rebellion to claim the Norwegian throne and became the founder of the Sverre dynasty.
  • C. Sverre Sigurdsson
    Sverre Sigurdsson was a 12th-century King of Norway and a central figure in the Norwegian civil wars, known for his military skill and efforts to strengthen royal authority.
  • D. Haakon Magnus
    Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
  • E. Haakon III of Norway
    Haakon III of Norway was a medieval Norwegian king whose brief reign was marked by dynastic conflict during the turbulent civil war era.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922a452c81909b48df157643f6bd completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.