Triple

T7961318
Position Surface form Disambiguated ID Type / Status
Subject GQ E184871 entity
Predicate hasEdition P35 FINISHED
Object GQ Japan 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 Japan | Statement: [GQ, hasEdition, GQ Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GQ Japan
Context triple: [GQ, hasEdition, GQ Japan]
  • A. GQ chosen
    GQ is a leading international men's magazine known for its coverage of fashion, culture, and style.
  • B. Shincho magazine
    Shincho magazine is a prominent Japanese literary periodical known for publishing influential modern fiction and essays.
  • C. Esquire
    Esquire is a courtesy title traditionally used in English-speaking countries to denote a man of higher social rank or, in modern usage, a practicing lawyer in the United States.
  • D. Vogue Korea
    Vogue Korea is the South Korean edition of the global fashion and lifestyle magazine Vogue, featuring high-end fashion, beauty, culture, and celebrity content tailored to Korean audiences.
  • E. Seventeen magazine
    Seventeen magazine is a long-running American teen magazine focused on fashion, beauty, relationships, and lifestyle content for young women.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b8256dc8190a4b73df7aded9097 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe084d9348190b4102fbdfedca297 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:12 p.m.