Triple

T1626782
Position Surface form Disambiguated ID Type / Status
Subject Glamour Woman of the Year E35162 entity
Predicate presentedBy P83 FINISHED
Object Glamour E39388 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: Glamour | Statement: [Glamour Woman of the Year, presentedBy, Glamour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glamour
Context triple: [Glamour Woman of the Year, presentedBy, Glamour]
  • A. Glamour chosen
    Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
  • B. Glamour Woman of the Year
    Glamour Woman of the Year is an annual honor presented by Glamour magazine recognizing influential and inspiring women across various fields such as entertainment, politics, activism, and business.
  • C. Glitter
    Glitter is a 2001 musical romantic drama film starring Mariah Carey as an aspiring singer navigating love and the music industry in 1980s New York City.
  • D. Vogue
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • E. Sophisticated Ladies
    Sophisticated Ladies is a Broadway musical revue celebrating the music of Duke Ellington, known for its stylish staging and virtuosic tap performances.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909d2fbe881908451ecd363cc33b0 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d12e808190a1319b1c87bcd22e completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.