Triple

T10395194
Position Surface form Disambiguated ID Type / Status
Subject The Snowman (novel) E244991 entity
Predicate author P4 FINISHED
Object Jo Nesbø E859491 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: Jo Nesbø | Statement: [The Snowman (novel), author, Jo Nesbø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Nesbø
Context triple: [The Snowman (novel), author, Jo Nesbø]
  • A. Jo Nesbø chosen
    Jo Nesbø is a Norwegian crime fiction author and musician best known for his Harry Hole detective series and internationally bestselling thrillers.
  • B. Stieg Larsson
    Stieg Larsson was a Swedish journalist and crime novelist best known for his posthumously published Millennium series, beginning with "The Girl with the Dragon Tattoo."
  • C. Robert Galbraith
    Robert Galbraith is the crime-fiction pen name used by British author J. K. Rowling for her Cormoran Strike detective novel series.
  • D. Henning Mankell
    Henning Mankell was a Swedish author and playwright best known internationally for his crime novels featuring detective Kurt Wallander.
  • E. John Ajvide Lindqvist
    John Ajvide Lindqvist is a Swedish author and screenwriter best known for his modern horror novels that blend supernatural elements with stark social realism.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9ce6bb08190bfeaba98a126526d completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbbad25081908712601404734988 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:06 p.m.