Triple

T1139627
Position Surface form Disambiguated ID Type / Status
Subject Viking Ship Museum E23419 entity
Predicate architect P184 FINISHED
Object Arnstein Arneberg E125783 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: Arnstein Arneberg | Statement: [Viking Ship Museum, architect, Arnstein Arneberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnstein Arneberg
Context triple: [Viking Ship Museum, architect, Arnstein Arneberg]
  • A. Arnstein Arneberg chosen
    Arnstein Arneberg was a prominent Norwegian architect known for designing significant public buildings and royal residences in the early 20th century.
  • B. Lee Haugen
    Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
  • C. Marcus Wallenberg
    Marcus Wallenberg was a prominent Swedish banker and industrialist from the influential Wallenberg family, known for shaping major Swedish corporations and the country’s postwar industrial development.
  • D. Kjell Ödeen
    Kjell Ödeen was a Swedish architect best known for designing major public buildings such as the Scandinavium arena in Gothenburg.
  • E. Arthur Andersen
    Arthur Andersen was a major global accounting firm whose reputation and operations collapsed after its central role in the Enron accounting scandal.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc27c88881909c64ec30b7f66575 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b020d48190bc6ecbdb720c6779 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.