Triple
T18064993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martini & Rossi |
E432272
|
entity |
| Predicate | subsidiaryOf |
P254
|
FINISHED |
| Object | Bacardi |
—
|
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: Bacardi | Statement: [Martini & Rossi, subsidiaryOf, Bacardi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacardi Context triple: [Martini & Rossi, subsidiaryOf, Bacardi]
-
A.
Bacardi Limited
chosen
Bacardi Limited is a major privately held spirits company best known for its Bacardi rum and a broad portfolio of global alcoholic beverage brands.
-
B.
Havana Club
Havana Club is a well-known Cuban rum brand recognized globally for its traditional production methods and association with Cuban cocktail culture.
-
C.
Don Q
Don Q is a Bronx-born American rapper known for his gritty lyricism and collaborations within the New York hip-hop scene.
-
D.
Smirnoff
Smirnoff is a globally popular vodka brand known for its wide range of flavored spirits and ready-to-drink beverages.
-
E.
Cointreau
Cointreau is a French orange-flavored triple sec liqueur known for its clear, crisp citrus profile and frequent use in classic cocktails.
- 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.