Triple

T6162294
Position Surface form Disambiguated ID Type / Status
Subject Andrea Sachs E137469 entity
Predicate worksFor P5820 FINISHED
Object Miranda Priestly E126629 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: Miranda Priestly | Statement: [Andrea Sachs, worksFor, Miranda Priestly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranda Priestly
Context triple: [Andrea Sachs, worksFor, Miranda Priestly]
  • A. Miranda Priestly chosen
    Miranda Priestly is the formidable, impeccably stylish editor-in-chief of a high-fashion magazine in "The Devil Wears Prada," known for her icy demeanor and exacting standards.
  • B. 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.
  • C. Anna Wintour
    Anna Wintour is the influential longtime editor-in-chief of Vogue and a powerful figure in the global fashion industry.
  • D. Patrick Wintour
    Patrick Wintour is a British political journalist best known as The Guardian’s diplomatic editor and a long-serving commentator on UK and international politics.
  • E. Diana Vreeland
    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.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d371484819090c18b62b095b49e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ee26ed8819084a5cfd84ba9564e completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:17 p.m.