Triple
T11809754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davidoff |
E280841
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Davidoff Cool Water |
E280841
|
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: Davidoff Cool Water | Statement: [Davidoff, product, Davidoff Cool Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davidoff Cool Water Context triple: [Davidoff, product, Davidoff Cool Water]
-
A.
Davidoff
chosen
Davidoff is a premium lifestyle brand best known for its luxury cigars, tobacco products, and fragrances.
-
B.
Dunhill
Dunhill is a premium cigarette brand known for its association with luxury and high-quality tobacco products.
-
C.
Havana Club
Havana Club is a well-known Cuban rum brand recognized globally for its traditional production methods and association with Cuban cocktail culture.
-
D.
Ballantine’s
Ballantine’s is a well-known Scotch whisky brand recognized globally for its blended whiskies and long-standing heritage in the spirits industry.
-
E.
Montecristo
Montecristo is a Mexican telenovela adaptation of Alexandre Dumas' "The Count of Monte Cristo," known for its themes of betrayal, revenge, and redemption.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ca50a081908a198b336d8c2b98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13188b89c819095ba5d27de7ebbb2 |
completed | April 28, 2026, 10:15 p.m. |
Created at: April 8, 2026, 9:42 p.m.