Triple

T9703970
Position Surface form Disambiguated ID Type / Status
Subject Cecil Beaton E234849 entity
Predicate employer P7 FINISHED
Object Condé Nast E166295 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: Condé Nast | Statement: [Cecil Beaton, employer, Condé Nast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Condé Nast
Context triple: [Cecil Beaton, employer, Condé Nast]
  • A. Condé Nast chosen
    Condé Nast is a major global media company known for publishing influential magazines such as Vogue, The New Yorker, GQ, and Wired.
  • B. Time Inc.
    Time Inc. was a major American media company best known for publishing influential magazines such as Time, Life, Sports Illustrated, and Fortune.
  • C. Hearst
    Hearst is a small, predominantly Francophone town in northern Ontario, Canada, known for its forestry industry and strong French-Canadian cultural presence.
  • D. Hearst Communications
    Hearst Communications is a major American mass media and business information conglomerate with interests in television, cable networks, magazines, newspapers, and digital media.
  • E. Harper’s Bazaar
    Harper’s Bazaar is a long-running, internationally renowned fashion and lifestyle magazine known for its high-end photography, trendsetting editorials, and coverage of luxury culture.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d73a0148190ad4178fd462cdd9c completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af93b76c81908377f17956fb86b1 completed April 5, 2026, 12:40 a.m.
Created at: March 30, 2026, 8:18 p.m.