Triple

T9112744
Position Surface form Disambiguated ID Type / Status
Subject Morten Tyldum E218641 entity
Predicate citizenship P2 FINISHED
Object Norway E2896 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: Norway | Statement: [Morten Tyldum, citizenship, Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norway
Context triple: [Morten Tyldum, citizenship, Norway]
  • A. Norway chosen
    Norway is a Nordic country in Northern Europe known for its high standard of living, extensive welfare state, and dramatic natural landscapes of fjords, mountains, and coastline.
  • B. Sweden–Norway
    Sweden–Norway was a 19th-century political union between the kingdoms of Sweden and Norway under a common monarch, lasting from 1814 to 1905.
  • C. Denmark
    Denmark is a Nordic country in Northern Europe known for its high standard of living, strong welfare state, and role as a founding member of NATO and the United Nations.
  • D. Denmark–Norway
    Denmark–Norway was an early modern dual monarchy uniting the kingdoms of Denmark and Norway (including their overseas territories) under a single crown from the 16th to the early 19th century.
  • E. Finland
    Finland is a Nordic country in Northern Europe known for its extensive forests and lakes, high standard of living, strong welfare state, and history that includes fighting in World War II and maintaining a policy of military non-alignment during the Cold War.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05449101481908c71475acf59b33c completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:16 p.m.