Triple
T21752477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nescafé |
E536947
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Nestlé Dolce Gusto |
—
|
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: Nestlé Dolce Gusto | Statement: [Nescafé, associatedWith, Nestlé Dolce Gusto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nestlé Dolce Gusto Context triple: [Nescafé, associatedWith, Nestlé Dolce Gusto]
-
A.
Dolce Gusto
chosen
Dolce Gusto is a coffee capsule system and brand by Nestlé known for its wide range of espresso and specialty drink pods used with dedicated single-serve machines.
-
B.
Nespresso
Nespresso is a premium coffee brand known for its single-serve espresso machines and coffee capsules marketed worldwide.
-
C.
Tassimo
Tassimo is a single-serve hot beverage system brand known for its coffee and other drink pods, originally developed and marketed by Kraft Foods.
-
D.
Keurig
Keurig is a popular American brand best known for its single-serve pod-based coffee makers widely used in homes and offices.
-
E.
Nescafé
Nescafé is a globally popular brand of instant coffee and related coffee products owned by Nestlé.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8b8b9c8190b1f6a8bc25d69dbb |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.