Triple

T16640493
Position Surface form Disambiguated ID Type / Status
Subject Met Gala E404319 entity
Predicate associatedWithPublication P11143 FINISHED
Object Vogue E39386 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: Vogue | Statement: [Met Gala, associatedWithPublication, Vogue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogue
Context triple: [Met Gala, associatedWithPublication, Vogue]
  • A. Vogue chosen
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • B. Vogue
    "Vogue" is a 1990 dance-pop song by Madonna, renowned for popularizing voguing and becoming one of her most iconic and influential hits.
  • 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 (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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad0e5408190aef8b5577be73057 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00918c998c81909b98d4fa9a8dbe3d completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:18 a.m.