Triple

T2539205
Position Surface form Disambiguated ID Type / Status
Subject GNQ E56342 entity
Predicate hasAlpha2Code P208 FINISHED
Object GQ E184871 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: GQ | Statement: [GNQ, hasAlpha2Code, GQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GQ
Context triple: [GNQ, hasAlpha2Code, GQ]
  • A. GQ chosen
    GQ is a leading international men's magazine known for its coverage of fashion, culture, and style.
  • B. Esquire magazine
    Esquire magazine is a long-running American men’s magazine known for its literary journalism, in-depth reporting, and stylish coverage of culture, politics, and fashion.
  • C. Runway magazine
    Runway magazine is the fictional high-fashion magazine in "The Devil Wears Prada," modeled on influential publications like Vogue and serving as the story’s glamorous yet cutthroat workplace backdrop.
  • D. Glamour magazine
    Glamour magazine is a long-running women’s lifestyle and fashion publication known for its coverage of beauty, culture, and influential women.
  • E. Vogue
    Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cfc54cc8190bb43b54f873ffa63 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.