Triple

T8188265
Position Surface form Disambiguated ID Type / Status
Subject Pepper Teigen E191240 entity
Predicate givenName P17 FINISHED
Object Vilailuck E189703 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 | Statement: [Pepper Teigen, givenName, Vilailuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilailuck
Context triple: [Pepper Teigen, givenName, Vilailuck]
  • A. Vilailuck chosen
    Vilailuck is a Thai-American television personality and cookbook author best known as Chrissy Teigen’s mother and for her appearances on cooking and lifestyle shows.
  • B. Lucky
    "Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
  • C. Lucky
    Lucky is the protagonist of the 1993 film "Poetic Justice," portrayed by Tupac Shakur as a sensitive and complex mail carrier navigating love, grief, and self-discovery.
  • D. Lucky
    "Lucky" is a popular duet by American singers Colbie Caillat and Jason Mraz, known for its mellow acoustic pop style and romantic lyrics.
  • E. Lucky
    Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
  • 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.