Triple
T22462577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Stag |
E555266
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Pernod Ricard India |
—
|
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: Pernod Ricard India | Statement: [Royal Stag, manufacturer, Pernod Ricard India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pernod Ricard India Context triple: [Royal Stag, manufacturer, Pernod Ricard India]
-
A.
Pernod Ricard
chosen
Pernod Ricard is a major French wine and spirits company known globally for brands such as Absolut, Jameson, and Chivas Regal.
-
B.
United Breweries Group
United Breweries Group is a major Indian conglomerate best known for its Kingfisher beer brand and diversified interests in alcoholic beverages and other industries.
-
C.
Diageo
Diageo is a multinational alcoholic beverages company headquartered in London, known for owning major global brands such as Guinness, Johnnie Walker, and Smirnoff.
-
D.
Moët Hennessy
Moët Hennessy is a leading French producer and distributor of luxury wines and spirits, known for prestigious champagne and cognac brands.
-
E.
Angostura Limited
Angostura Limited is a Trinidad and Tobago–based company best known globally for producing aromatic bitters and rum.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b80983081908084947b2e31c9d4 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.