Triple

T10066403
Position Surface form Disambiguated ID Type / Status
Subject Carmel Snow E213112 entity
Predicate workedWith P398 FINISHED
Object Diana Vreeland E210351 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: Diana Vreeland | Statement: [Carmel Snow, workedWith, Diana Vreeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Vreeland
Context triple: [Carmel Snow, workedWith, Diana Vreeland]
  • A. Diana Vreeland chosen
    Diana Vreeland was a legendary fashion editor and style icon who shaped 20th-century fashion through her influential work at major magazines and as a consultant to the Metropolitan Museum of Art’s Costume Institute.
  • B. Annette de la Renta
    Annette de la Renta is a New York–based socialite and philanthropist known for her prominent role in high society and as the widow of fashion designer Oscar de la Renta.
  • C. Nora Wintour
    Nora Wintour is a British trade union and labor rights activist known for her work with international labor organizations and campaigns to improve workers’ conditions worldwide.
  • D. Reed Vreeland
    Reed Vreeland was the husband of influential fashion editor Diana Vreeland and a supportive figure in her rise within the fashion world.
  • E. Anna Wintour
    Anna Wintour is the influential longtime editor-in-chief of Vogue and a powerful figure in the global fashion industry.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff63a4c8190bb08a0428aafa189 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b630ca008190a337660ad8c9d57e completed April 5, 2026, 7:21 p.m.
Created at: March 30, 2026, 8:58 p.m.