Triple

T15428832
Position Surface form Disambiguated ID Type / Status
Subject Espen Øino E369580 entity
Predicate employer P7 FINISHED
Object Espen Øino International E369580 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: Espen Øino International | Statement: [Espen Øino, employer, Espen Øino International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espen Øino International
Context triple: [Espen Øino, employer, Espen Øino International]
  • A. Espen Øino chosen
    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.
  • B. Bjørndal
    Bjørndal is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • C. Espen Olsen
    Espen Olsen is a former Norwegian footballer best known for his time as a forward with Hamarkameratene (HamKam).
  • D. Ebbe Borregaard
    Ebbe Borregaard is a poet associated with the mid-20th-century San Francisco avant-garde, particularly the circle around Robert Duncan and Jack Spicer.
  • E. Jakob Oftebro
    Jakob Oftebro is a Norwegian actor known for his roles in Scandinavian and international films and television series, often appearing in crime dramas and historical productions.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a827d9081909fabc48bc685ba5b completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.