Triple

T5854051
Position Surface form Disambiguated ID Type / Status
Subject Arnt Eliassen E130106 entity
Predicate givenName P17 FINISHED
Object Arnt E130106 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: Arnt | Statement: [Arnt Eliassen, givenName, Arnt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnt
Context triple: [Arnt Eliassen, givenName, Arnt]
  • A. Arnt Eliassen chosen
    Arnt Eliassen was a prominent Norwegian meteorologist known for his influential work in dynamic meteorology and numerical weather prediction.
  • B. Arnt Jensen
    Arnt Jensen is a Danish video game designer best known as the creator and creative director of the critically acclaimed indie game Limbo.
  • C. Julius Skarlandt
    Julius Skarlandt was a Czech sports official best known for leading the organization of the 1964 Winter Olympics in Innsbruck.
  • D. Rygge
    Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
  • E. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b105fb588190ac58a94513df6682 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:55 p.m.