Triple

T8188264
Position Surface form Disambiguated ID Type / Status
Subject Pepper Teigen E191240 entity
Predicate birthName P65 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: [Pepper Teigen, birthName, Vilailuck Teigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilailuck Teigen
Context triple: [Pepper Teigen, birthName, 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. Sakshaug
    Sakshaug is a village in the municipality of Inderøy in Trøndelag county, Norway, known for its historic church and rural setting.
  • D. Arvid Fladmoe
    Arvid Fladmoe was a Norwegian conductor and composer known for his leadership roles with major orchestras in Norway, including the Oslo Philharmonic.
  • E. Rygge
    Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4d9f4a488190b39bdc1792646914 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced8437008190bf547154c2d16639 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:41 p.m.