Triple
T22572917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advance |
E544320
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Vogue (via Condé Nast) |
—
|
NE NERFINISHED |
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: Vogue (via Condé Nast) | Statement: [Advance, owns, Vogue (via Condé Nast)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vogue (via Condé Nast) Context triple: [Advance, owns, Vogue (via Condé Nast)]
-
A.
In Vogue
"In Vogue" is a song featured on Gregory Porter's acclaimed jazz and soul album "Take Me to the Alley."
-
B.
Vogue
"Vogue" is a 1990 dance-pop song by Madonna, renowned for popularizing voguing and becoming one of her most iconic and influential hits.
-
C.
Vogue
chosen
Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
-
D.
Vogue Italia
Vogue Italia is the Italian edition of the international fashion magazine Vogue, renowned for its avant-garde photography, artistic editorial direction, and influential role in high fashion.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fe958e881909b58a5439f2c6a35 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.