Gemini Pro
E490189
Gemini Pro is a powerful large language model in Google’s Gemini family designed for advanced reasoning, coding, and multimodal AI tasks.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Gemini Pro canonical | 3 |
| Gemini 1.0 Pro | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5052786 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemini Pro Context triple: [Google Gemini, hasVersion, Gemini Pro]
-
A.
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.
-
B.
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.
-
C.
Gemini
Gemini is a digital media brand owned by Oath Inc. (now part of Verizon Media), associated with its portfolio of online content and services.
-
D.
Gemini
Gemini is an American rapper known for his collaborations with Lupe Fiasco and contributions to Chicago's hip-hop scene.
-
E.
Gemini
Gemini is a prominent zodiac constellation in the northern sky, best known for its twin stars Castor and Pollux.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gemini Pro Target entity description: Gemini Pro is a powerful large language model in Google’s Gemini family designed for advanced reasoning, coding, and multimodal AI tasks.
-
A.
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.
-
B.
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.
-
C.
Gemini
Gemini is an American rapper known for his collaborations with Lupe Fiasco and contributions to Chicago's hip-hop scene.
-
D.
Gemini
Gemini is a digital media brand owned by Oath Inc. (now part of Verizon Media), associated with its portfolio of online content and services.
-
E.
Gemini
Gemini is a prominent zodiac constellation in the northern sky, best known for its twin stars Castor and Pollux.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf | large language model ⓘ |
| accessibleVia |
Google AI Studio API
ⓘ
linked to:
Google AI Studio
Vertex AI Gemini API ⓘ
linked to:
Google Gemini
|
| belongsToCategory |
foundation models
ⓘ
generative AI models ⓘ |
| brand | Google Gemini ⓘ |
| designedFor |
advanced AI applications
ⓘ
developers ⓘ enterprises ⓘ |
| developer |
Google
ⓘ
Google DeepMind ⓘ
linked to:
DeepMind
|
| hasCapability |
advanced reasoning
ⓘ
code generation ⓘ code understanding ⓘ multimodal understanding ⓘ natural language generation ⓘ natural language understanding ⓘ question answering ⓘ reasoning over long context ⓘ summarization ⓘ translation ⓘ |
| hasVersion |
Gemini 1.0 Pro
ⓘ
linked to:
Gemini Pro
Gemini 1.5 Pro ⓘ
linked to:
Gemini 1.5
|
| language | multilingual ⓘ |
| partOf |
Gemini family
ⓘ
Google Gemini models ⓘ
linked to:
Google Gemini
|
| provider | Google Cloud ⓘ |
| supportsFeature |
contextual reasoning
ⓘ
function calling ⓘ long-context processing ⓘ structured output ⓘ |
| supportsModality |
code
ⓘ
images ⓘ multimodal input ⓘ text ⓘ |
| supportsTask |
chat-based interaction
ⓘ
code debugging assistance ⓘ content generation ⓘ data analysis assistance ⓘ document analysis ⓘ reasoning-intensive problem solving ⓘ software development assistance ⓘ tool use via APIs ⓘ |
| usedIn |
Google AI Studio
ⓘ
Google Cloud Vertex AI ⓘ
linked to:
Vertex AI
|
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.
Instruction
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.
Input
Subject: Gemini Pro Description of subject: Gemini Pro is a powerful large language model in Google’s Gemini family designed for advanced reasoning, coding, and multimodal AI tasks.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Gemini Pro