Triple

T9767180
Position Surface form Disambiguated ID Type / Status
Subject Esti Stephens E237023 entity
Predicate notableRelative P367 FINISHED
Object Vilailuck "Pepper" 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 "Pepper" Teigen | Statement: [Esti Stephens, notableRelative, Vilailuck "Pepper" Teigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilailuck "Pepper" Teigen
Context triple: [Esti Stephens, notableRelative, Vilailuck "Pepper" Teigen]
  • A. Pepper Teigen
    Pepper Teigen is a Thai-American home cook, cookbook author, and television personality best known as Chrissy Teigen’s mother and for popularizing Thai comfort food in the U.S.
  • B. 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.
  • C. Kay Tornborg
    Kay Tornborg is an American artist and the former wife of actor Christopher Lloyd.
  • D. Warren Skaaren
    Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
  • E. Kari Skogland
    Kari Skogland is a Canadian film and television director, producer, and screenwriter known for her work on acclaimed series such as The Handmaid’s Tale and The Falcon and the Winter Soldier.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c412f0a48190b59d030b703a0e45 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:25 p.m.