Triple
T7961319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GQ |
E184871
|
entity |
| Predicate | hasEdition |
P35
|
FINISHED |
| Object | GQ China |
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 China | Statement: [GQ, hasEdition, GQ China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GQ China Context triple: [GQ, hasEdition, GQ China]
-
A.
Elle China
Elle China is the Chinese edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Chinese readers and the local fashion industry.
-
B.
GQ
chosen
GQ is a leading international men's magazine known for its coverage of fashion, culture, and style.
-
C.
People's Daily
People's Daily is the official newspaper of the Chinese Communist Party and one of China's most influential state-run media outlets.
-
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.
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.
- 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.