Triple

T2255460
Position Surface form Disambiguated ID Type / Status
Subject Wren Alexander Stephens E49711 entity
Predicate relative P37 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: [Wren Alexander Stephens, relative, Vilailuck Teigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilailuck Teigen
Context triple: [Wren Alexander Stephens, relative, 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. Rygge
    Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
  • D. Ole Nilsen Ravna
    Ole Nilsen Ravna was a Sámi reindeer herder and explorer known for taking part in Fridtjof Nansen’s pioneering 1888–1889 crossing of the Greenland ice cap.
  • E. Lee Haugen
    Lee Haugen is a film editor best known for his work on the adventure drama "The Lost City of Z."
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1fc8808190aebc534ea5adb534 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.