Triple
T14372831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moët Hennessy |
E356397
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Belvedere |
E356402
|
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: Belvedere | Statement: [Moët Hennessy, brand, Belvedere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belvedere Context triple: [Moët Hennessy, brand, Belvedere]
-
A.
Belvedere
Belvedere is a suburban district in the London Borough of Bexley known for its residential character and proximity to the River Thames in southeast London.
-
B.
Belvedere
Belvedere is an affluent, scenic waterfront city in Marin County, California, known for its views of San Francisco Bay and upscale residential character.
-
C.
Belvedere
chosen
Belvedere is a premium Polish vodka brand known for its luxury positioning and high-quality production, owned by the French conglomerate LVMH.
-
D.
Belvedere
Belvedere is a historic baroque palace complex and art museum in Vienna, Austria, renowned for its extensive collection of Austrian art, including works by Gustav Klimt.
-
E.
Belvedere
Belvedere is a famous lithograph print by M. C. Escher that depicts an impossible three-dimensional building constructed with paradoxical architectural elements.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bbf21a48190921e99685c7ef2b9 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 1:15 a.m.