Triple

T19543177
Position Surface form Disambiguated ID Type / Status
Subject Bijou Phillips E488960 entity
Predicate modeledFor P2006 FINISHED
Object Vogue NE NERFINISHED

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: Vogue | Statement: [Bijou Phillips, modeledFor, Vogue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogue
Context triple: [Bijou Phillips, modeledFor, Vogue]
  • A. Vogue
    "Vogue" is a 1990 dance-pop song by Madonna, renowned for popularizing voguing and becoming one of her most iconic and influential hits.
  • B. Vogue chosen
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • C. The Vogue
    The Vogue was a pivotal Seattle nightclub that became a key hub for the emerging grunge scene in the late 1980s and early 1990s.
  • D. In Vogue
    "In Vogue" is a song featured on Gregory Porter's acclaimed jazz and soul album "Take Me to the Alley."
  • E. La Vogue (magazine)
    La Vogue was a late 19th-century French literary and artistic magazine known for publishing avant-garde writers, including the first appearance of Arthur Rimbaud’s "Illuminations."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638750b288190aecdb0e18a1add62 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.