Triple

T8071019
Position Surface form Disambiguated ID Type / Status
Subject Kristin Cavallari E188371 entity
Predicate appearedIn P795 FINISHED
Object Very Cavallari E709687 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: Very Cavallari | Statement: [Kristin Cavallari, appearedIn, Very Cavallari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Very Cavallari
Context triple: [Kristin Cavallari, appearedIn, Very Cavallari]
  • A. Very Cavallari chosen
    Very Cavallari is a reality television series that follows Kristin Cavallari’s personal life and the launch and growth of her lifestyle brand.
  • B. Cavallari
    Cavallari is the surname of American television personality, author, and entrepreneur Kristin Cavallari.
  • C. Brian Austin Green
    Brian Austin Green is an American actor best known for playing David Silver on the television series "Beverly Hills, 90210."
  • D. Bam Margera
    Bam Margera is an American professional skateboarder and television personality best known for his outrageous stunts and pranks on MTV’s Jackass and its spin-off series Viva La Bam.
  • E. Joe Budden
    Joe Budden is an American rapper, media personality, and former member of the hip hop supergroup Slaughterhouse, best known for his hit single "Pump It Up" and his influential podcast "The Joe Budden Podcast."
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4046a2148190a584e33bcf53cf22 completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93e568388190a518baa0badefea4 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:27 p.m.