Triple

T16619464
Position Surface form Disambiguated ID Type / Status
Subject Sophie Dahl E403784 entity
Predicate hasWorkedFor P11675 FINISHED
Object British 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: British Vogue | Statement: [Sophie Dahl, hasWorkedFor, British Vogue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: British Vogue
Context triple: [Sophie Dahl, hasWorkedFor, British Vogue]
  • A. Vogue Australia
    Vogue Australia is the Australian edition of the international fashion and lifestyle magazine Vogue, featuring local and global coverage of style, culture, and celebrity.
  • B. Vogue Italia
    Vogue Italia is the Italian edition of the international fashion magazine Vogue, renowned for its avant-garde photography, artistic editorial direction, and influential role in high fashion.
  • C. Vogue
    "Vogue" is a 1990 dance-pop song by Madonna, renowned for popularizing voguing and becoming one of her most iconic and influential hits.
  • D. Vogue chosen
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • E. 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.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754c934c8190a0a8ddd747681aa7 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db0b4348190beb573bc3df98125 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.