Triple

T52762
Position Surface form Disambiguated ID Type / Status
Subject Chrissy Teigen E1036 entity
Predicate ethnicOrigin P194 FINISHED
Object Norwegian E4052 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: Norwegian | Statement: [Chrissy Teigen, ethnicOrigin, Norwegian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian
Context triple: [Chrissy Teigen, ethnicOrigin, Norwegian]
  • A. Norwegian language
    Norwegian is a North Germanic language spoken primarily in Norway, closely related to Danish and Swedish and featuring two official written standards, Bokmål and Nynorsk.
  • B. Norwegians chosen
    Norwegians are a North Germanic ethnic group native to Norway, known for their Viking heritage, seafaring traditions, and strong social welfare society.
  • C. Danish language
    Danish is a North Germanic language spoken primarily in Denmark and parts of Greenland and the Faroe Islands, closely related to Norwegian and Swedish.
  • D. Norse
    Norse is a historical North Germanic language group, including Old Norse, that was spoken by the Vikings and significantly influenced many modern Scandinavian and North Atlantic languages.
  • E. Norway
    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.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b04ef708190876686da9db1f04d completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25ab66dd0819081443ebc4702d3b0 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.