Triple

T10635775
Position Surface form Disambiguated ID Type / Status
Subject Ivarsøy E250575 entity
Predicate usedBy P260 FINISHED
Object Geir Ivarsøy E50830 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: Geir Ivarsøy | Statement: [Ivarsøy, usedBy, Geir Ivarsøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geir Ivarsøy
Context triple: [Ivarsøy, usedBy, Geir Ivarsøy]
  • A. Geir Ivarsøy chosen
    Geir Ivarsøy was a Norwegian software developer best known as the co-founder and key architect behind the Opera web browser.
  • B. Trond Berg-Nilssen
    Trond Berg-Nilssen is a Norwegian television producer best known for his work on high-profile series such as the crime-comedy drama "Lilyhammer."
  • C. Øivin Fjeldstad
    Øivin Fjeldstad was a prominent Norwegian conductor and violinist, best known for his leadership of major orchestras in Norway and his interpretations of Scandinavian repertoire.
  • D. Knut Arild Hareide
    Knut Arild Hareide is a Norwegian politician who has served as a prominent figure in the Christian Democratic Party and held various national political roles, including party leadership.
  • E. Arnulf Øverland
    Arnulf Øverland was a prominent Norwegian poet, essayist, and language activist known for his influential role in 20th-century Norwegian literature and cultural debates.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfac70f481908363f9ac0b651fbe completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69deb07626988190a46d8a54eda156f5 completed April 14, 2026, 9:24 p.m.
Created at: April 8, 2026, 9:03 p.m.