Triple

T16647975
Position Surface form Disambiguated ID Type / Status
Subject Mischa Auer E404524 entity
Predicate notableWork P4 FINISHED
Object Vogues of 1938
Vogues of 1938 is a 1937 Technicolor musical comedy film centered on the world of high fashion and romantic entanglements in New York.
E1226189 NE FINISHED

How this triple was built (4 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: Vogues of 1938 | Statement: [Mischa Auer, notableWork, Vogues of 1938]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vogues of 1938
Context triple: [Mischa Auer, notableWork, Vogues of 1938]
  • A. 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.
  • B. 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."
  • C. In Vogue
    "In Vogue" is a song featured on Gregory Porter's acclaimed jazz and soul album "Take Me to the Alley."
  • D. Vogue
    "Vogue" is a 1990 dance-pop song by Madonna, renowned for popularizing voguing and becoming one of her most iconic and influential hits.
  • E. Vogue
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vogues of 1938
Triple: [Mischa Auer, notableWork, Vogues of 1938]
Generated description
Vogues of 1938 is a 1937 Technicolor musical comedy film centered on the world of high fashion and romantic entanglements in New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vogues of 1938
Target entity description: Vogues of 1938 is a 1937 Technicolor musical comedy film centered on the world of high fashion and romantic entanglements in New York.
  • A. 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.
  • B. 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."
  • C. In Vogue
    "In Vogue" is a song featured on Gregory Porter's acclaimed jazz and soul album "Take Me to the Alley."
  • D. Vogue
    "Vogue" is a 1990 dance-pop song by Madonna, renowned for popularizing voguing and becoming one of her most iconic and influential hits.
  • E. Vogue
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • F. None of above. chosen

Provenance (5 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_69e37ad794388190b2817d2ec5ff0de0 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c0e37c819080161d522069aa1d completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a0085e04fc08190b974be9d6e27413d completed May 10, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_6a00868e55dc8190bfc7cd1b78ec4d6d completed May 10, 2026, 1:22 p.m.
Created at: April 10, 2026, 5:18 a.m.