Triple
T4135282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Coffee |
E85137
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Georgia Latte Nista
Georgia Latte Nista is a ready-to-drink canned latte beverage sold under the Georgia Coffee brand.
|
E414383
|
NE FINISHED |
How this triple was built (4 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: Georgia Latte Nista | Statement: [Georgia Coffee, hasVariant, Georgia Latte Nista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgia Latte Nista Context triple: [Georgia Coffee, hasVariant, Georgia Latte Nista]
-
A.
Pierrelatte
Pierrelatte is a commune in southeastern France known for its proximity to the Tricastin nuclear complex and its location in the Drôme department of the Auvergne-Rhône-Alpes region.
-
B.
Latte Pronto
Latte Pronto is the central protagonist of the work "Fool's Paradise," around whom the story's main events and conflicts revolve.
-
C.
Cappachino
Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
-
D.
Claire Coffee
Claire Coffee is an American actress best known for her role as Adalind Schade on the television series "Grimm."
-
E.
Federico Caffè
Federico Caffè was an influential Italian economist and academic known for his work on welfare economics, Keynesian theory, and social justice in economic policy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Georgia Latte Nista Triple: [Georgia Coffee, hasVariant, Georgia Latte Nista]
Generated description
Georgia Latte Nista is a ready-to-drink canned latte beverage sold under the Georgia Coffee brand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Georgia Latte Nista Target entity description: Georgia Latte Nista is a ready-to-drink canned latte beverage sold under the Georgia Coffee brand.
-
A.
Pierrelatte
Pierrelatte is a commune in southeastern France known for its proximity to the Tricastin nuclear complex and its location in the Drôme department of the Auvergne-Rhône-Alpes region.
-
B.
Latte Pronto
Latte Pronto is the central protagonist of the work "Fool's Paradise," around whom the story's main events and conflicts revolve.
-
C.
Cappachino
Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
-
D.
Claire Coffee
Claire Coffee is an American actress best known for her role as Adalind Schade on the television series "Grimm."
-
E.
Federico Caffè
Federico Caffè was an influential Italian economist and academic known for his work on welfare economics, Keynesian theory, and social justice in economic policy.
- F. None of above. chosen
Provenance (5 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af023190608190bcc929c5996b7378 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c75e5c8190acc4ee72cb574432 |
completed | March 14, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b57799f22481908cfda7e620a77187 |
completed | March 14, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b578003dd48190b9264fd834cffbdf |
completed | March 14, 2026, 3 p.m. |
Created at: March 9, 2026, 3:43 p.m.