Triple

T14987273
Position Surface form Disambiguated ID Type / Status
Subject Helmut Newton E373736 entity
Predicate workedFor P1910 FINISHED
Object American 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: American Vogue | Statement: [Helmut Newton, workedFor, American Vogue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Vogue
Context triple: [Helmut Newton, workedFor, American Vogue]
  • 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. 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. Vogue chosen
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • D. 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."
  • E. Vogue Brazil
    Vogue Brazil is the Brazilian edition of the international fashion and lifestyle magazine Vogue, featuring content tailored to Brazil’s fashion industry, culture, and trends.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7007588819095bb1de029a6f2eb completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969683348190bb4688f24227af88 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.