Triple
T18064995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martini & Rossi |
E432272
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Martini Rosso |
—
|
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: Martini Rosso | Statement: [Martini & Rossi, product, Martini Rosso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martini Rosso Context triple: [Martini & Rossi, product, Martini Rosso]
-
A.
Martini
Martini is a common Italian surname shared by various notable individuals in fields such as acting, sports, and politics.
-
B.
Martini
chosen
Martini is an iconic Italian brand best known for its vermouth and sponsorship of high-profile motorsport teams.
-
C.
Martini & Rossi
Martini & Rossi is an Italian company best known for producing vermouth and sparkling wines, as well as for its iconic Martini Racing motorsport sponsorships.
-
D.
French Martini
The French Martini is a modern vodka-based cocktail known for its fruity blend of pineapple juice and raspberry liqueur, yielding a smooth, slightly sweet, and elegant drink.
-
E.
Vin Mariani
Vin Mariani was a popular 19th-century tonic wine made from Bordeaux wine infused with coca leaves, famed for its stimulating effects and celebrity endorsements.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce81de88190bd94d4ccee3e180c |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.