Triple
T5861280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | (RED) |
E130279
|
entity |
| Predicate | partnersWith |
P282
|
FINISHED |
| Object |
Belvedere Vodka
Belvedere Vodka is a premium Polish rye vodka brand known for its luxury positioning and distinctive frosted bottle featuring Warsaw’s Belweder Palace.
|
E550417
|
NE FINISHED |
How this triple was built (4 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: Belvedere Vodka | Statement: [(RED), partnersWith, Belvedere Vodka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belvedere Vodka Context triple: [(RED), partnersWith, Belvedere Vodka]
-
A.
Saaremaa vodka
Saaremaa vodka is an Estonian vodka brand known for its clean, smooth taste and association with the island of Saaremaa.
-
B.
Ciroc Star
"Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
-
C.
Krug
Krug is a prestigious Champagne house from France renowned for its luxury cuvées and craftsmanship, and is part of the LVMH portfolio of high-end wine and spirits brands.
-
D.
Krug
Krug is the traditional Cossack communal assembly that served as their highest decision-making and self-governing body.
-
E.
Hennessy
Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Belvedere Vodka Triple: [(RED), partnersWith, Belvedere Vodka]
Generated description
Belvedere Vodka is a premium Polish rye vodka brand known for its luxury positioning and distinctive frosted bottle featuring Warsaw’s Belweder Palace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belvedere Vodka Target entity description: Belvedere Vodka is a premium Polish rye vodka brand known for its luxury positioning and distinctive frosted bottle featuring Warsaw’s Belweder Palace.
-
A.
Saaremaa vodka
Saaremaa vodka is an Estonian vodka brand known for its clean, smooth taste and association with the island of Saaremaa.
-
B.
Ciroc Star
"Ciroc Star" is a song by the American indie pop band Chester French, known for its blend of catchy melodies and polished, genre-blurring production.
-
C.
Krug
Krug is a prestigious Champagne house from France renowned for its luxury cuvées and craftsmanship, and is part of the LVMH portfolio of high-end wine and spirits brands.
-
D.
Krug
Krug is the traditional Cossack communal assembly that served as their highest decision-making and self-governing body.
-
E.
Hennessy
Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
- F. None of above. chosen
Provenance (5 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03588dd8c81909491350140ea340e |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c70754819089081fc440ed841e |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a258fa208190a06b457e7856c338 |
completed | March 23, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a310d2d08190a8dab95f9eef2815 |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 22, 2026, 3:56 p.m.