Triple
T14372983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krug |
E356400
|
entity |
| Predicate | brandPortfolio |
P12124
|
FINISHED |
| Object | LVMH Wines & Spirits |
E356397
|
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: LVMH Wines & Spirits | Statement: [Krug, brandPortfolio, LVMH Wines & Spirits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LVMH Wines & Spirits Context triple: [Krug, brandPortfolio, LVMH Wines & Spirits]
-
A.
Moët Hennessy
chosen
Moët Hennessy is a leading French producer and distributor of luxury wines and spirits, known for prestigious champagne and cognac brands.
-
B.
LVMH
LVMH is a French multinational luxury conglomerate that owns a wide portfolio of prestigious brands across fashion, jewelry, cosmetics, wines, and spirits.
-
C.
Pernod Ricard
Pernod Ricard is a major French wine and spirits company known globally for brands such as Absolut, Jameson, and Chivas Regal.
-
D.
Veuve Clicquot
Veuve Clicquot is a renowned French Champagne house famous for its premium sparkling wines and distinctive yellow label.
-
E.
Moët & Chandon
Moët & Chandon is a world-renowned French Champagne producer famous for its luxury sparkling wines and flagship Moët Impérial.
- 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_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 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.