Triple

T18619152
Position Surface form Disambiguated ID Type / Status
Subject Will China’s Rise Be Peaceful? E455104 entity
Predicate author P4 FINISHED
Object Asle Toje 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: Asle Toje | Statement: [Will China’s Rise Be Peaceful?, author, Asle Toje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asle Toje
Context triple: [Will China’s Rise Be Peaceful?, author, Asle Toje]
  • A. Asle Toje chosen
    Asle Toje is a Norwegian foreign policy scholar and commentator known for his work on international relations, security policy, and European affairs.
  • B. Petter Skavlan
    Petter Skavlan is a Norwegian screenwriter best known for writing the Oscar-nominated historical adventure film "Kon-Tiki" (2012).
  • C. Espen Øino
    Espen Øino is a renowned Norwegian naval architect and superyacht designer known for creating some of the world’s largest and most innovative luxury vessels.
  • D. Stian Herøy
    Stian Herøy is a Norwegian local politician who serves as the mayor of Fedje Municipality.
  • E. Magnus Jøndal
    Magnus Jøndal is a Norwegian professional handball player known for his successful international career as a fast and prolific left wing for Norway.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d07dc288190bb3b8b5ab06518da completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:46 a.m.