Triple
T7948685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glamour |
E184558
|
entity |
| Predicate | hasEdition |
P35
|
FINISHED |
| Object | Glamour Germany |
E184558
|
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 Germany | Statement: [Glamour, hasEdition, Glamour Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glamour Germany Context triple: [Glamour, hasEdition, Glamour Germany]
-
A.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
-
B.
Germany’s Next Topmodel
Germany’s Next Topmodel is a German reality television competition in which aspiring models compete in various fashion and photo challenges to win a modeling contract and related prizes.
-
C.
Glamour magazine
chosen
Glamour magazine is a long-running women’s lifestyle and fashion publication known for its coverage of beauty, culture, and influential women.
-
D.
The Vogue
The Vogue was a pivotal Seattle nightclub that became a key hub for the emerging grunge scene in the late 1980s and early 1990s.
-
E.
Der Spiegel
Der Spiegel is a leading German weekly news magazine known for its investigative journalism and significant influence on political and public discourse in Germany.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2bf6f48190ac7491c41045cab2 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe03c7d308190aec1172415be995c |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:10 p.m.