Triple

T1674006
Position Surface form Disambiguated ID Type / Status
Subject Vilailuck Teigen E36189 entity
Predicate name P16 FINISHED
Object Vilailuck Teigen E36189 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: Vilailuck Teigen | Statement: [Vilailuck Teigen, name, Vilailuck Teigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilailuck Teigen
Context triple: [Vilailuck Teigen, name, Vilailuck Teigen]
  • A. Vilailuck Teigen chosen
    Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
  • B. Rigmor Aasrud
    Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
  • C. Lee Haugen
    Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
  • D. Gunnar Berge
    Gunnar Berge is a Norwegian Labour Party politician who has held several ministerial posts, including Minister of Finance, and later served as head of the Office of the Auditor General of Norway.
  • E. Halvdan Koht
    Halvdan Koht was a prominent Norwegian historian, politician, and former foreign minister known for his influential role in early 20th-century Norwegian academic and political life.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6246753081909dace4eacf9cb1c0 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad798b0f1c81908174b312878e559b completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.