Gemini Ultra
E490188
Gemini Ultra is Google’s most powerful large multimodal AI model in the Gemini family, designed for complex reasoning and advanced language and code tasks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Gemini Ultra canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5052785 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Gemini Ultra Context triple: [Google Gemini, hasVersion, Gemini Ultra]
-
A.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
-
B.
Gemini SC-4
Gemini SC-4 was the NASA spacecraft used for the Gemini 4 mission, which carried astronauts James McDivitt and Edward White on the first American spacewalk in 1965.
-
C.
Rutan Defiant
The Rutan Defiant is an experimental twin-engine, push-pull configuration light aircraft known for its unconventional canard design and efficient performance.
-
D.
Atlas LV-3B
Atlas LV-3B was an early variant of the Atlas launch vehicle used by NASA during the Mercury program to send crewed spacecraft into low Earth orbit.
-
E.
Atlas III
Atlas III was an American expendable launch vehicle developed by Lockheed Martin as an intermediate step between the Atlas II and Atlas V rockets, featuring a Russian RD-180 engine and used primarily for commercial and military satellite launches in the early 2000s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Gemini Ultra Target entity description: Gemini Ultra is Google’s most powerful large multimodal AI model in the Gemini family, designed for complex reasoning and advanced language and code tasks.
-
A.
Skymaster
Skymaster is the NATO reporting name for the Douglas C-54, a four-engine military transport aircraft widely used by the United States and its allies during and after World War II.
-
B.
Gemini SC-4
Gemini SC-4 was the NASA spacecraft used for the Gemini 4 mission, which carried astronauts James McDivitt and Edward White on the first American spacewalk in 1965.
-
C.
Rutan Defiant
The Rutan Defiant is an experimental twin-engine, push-pull configuration light aircraft known for its unconventional canard design and efficient performance.
-
D.
Atlas LV-3B
Atlas LV-3B was an early variant of the Atlas launch vehicle used by NASA during the Mercury program to send crewed spacecraft into low Earth orbit.
-
E.
Atlas III
Atlas III was an American expendable launch vehicle developed by Lockheed Martin as an intermediate step between the Atlas II and Atlas V rockets, featuring a Russian RD-180 engine and used primarily for commercial and military satellite launches in the early 2000s.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence model
ⓘ
large multimodal language model ⓘ |
| belongsToPlatform |
Google AI ecosystem
NERFINISHED
ⓘ
Google Cloud AI offerings NERFINISHED ⓘ |
| brand | Gemini NERFINISHED ⓘ |
| designedFor |
advanced code tasks
ⓘ
advanced language tasks ⓘ complex reasoning tasks ⓘ |
| developer |
Google
ⓘ
Google DeepMind NERFINISHED ⓘ |
| hasCapability |
advanced language tasks
ⓘ
agentic workflows support ⓘ code generation ⓘ code understanding ⓘ complex reasoning ⓘ instruction following ⓘ multimodal reasoning ⓘ question answering ⓘ summarization ⓘ text generation ⓘ text understanding ⓘ tool use assistance ⓘ translation ⓘ |
| hasModality |
audio
ⓘ
code ⓘ images ⓘ text ⓘ video ⓘ |
| hasType | multimodal model ⓘ |
| organization |
Google
NERFINISHED
ⓘ
Google DeepMind NERFINISHED ⓘ |
| partOf |
Gemini family
ⓘ
Gemini model suite NERFINISHED ⓘ |
| positionInFamily | most powerful Gemini model ⓘ |
| relatedModel |
Gemini Nano
NERFINISHED
ⓘ
Gemini Pro NERFINISHED ⓘ |
| supportsUseCase |
content creation
ⓘ
data analysis assistance ⓘ enterprise AI applications ⓘ research assistance ⓘ software development assistance ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Gemini Ultra Description of subject: Gemini Ultra is Google’s most powerful large multimodal AI model in the Gemini family, designed for complex reasoning and advanced language and code tasks.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.