PaLM 2
E490194
PaLM 2 is a large-scale language model developed by Google, known for powering various AI features across Google products before being succeeded by the Gemini family of models.
All labels observed (6)
| Label | Occurrences |
|---|---|
| PaLM | 2 |
| PaLM 2 canonical | 1 |
| PaLM 2 Bison | 1 |
| PaLM 2 Gecko | 1 |
| PaLM 2 Otter | 1 |
| PaLM 2 Unicorn | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5052797 — 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: PaLM 2 Context triple: [Google Gemini, predecessor, PaLM 2]
-
A.
GPT-2
GPT-2 is a large transformer-based language model known for generating coherent, human-like text and sparking widespread discussion about the implications of advanced AI text generation.
-
B.
GPT-3
GPT-3 is a large-scale autoregressive language model known for generating human-like text and performing a wide range of natural language tasks with minimal fine-tuning.
-
C.
LLaMA
LLaMA is a family of large language models developed by Meta AI, designed for efficient training and inference across a range of natural language processing tasks.
-
D.
GPT-Neo
GPT-Neo is an open-source family of autoregressive language models developed by EleutherAI as a free alternative to OpenAI’s GPT-3.
-
E.
DALL·E
DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
- 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: PaLM 2 Target entity description: PaLM 2 is a large-scale language model developed by Google, known for powering various AI features across Google products before being succeeded by the Gemini family of models.
-
A.
GPT-2
GPT-2 is a large transformer-based language model known for generating coherent, human-like text and sparking widespread discussion about the implications of advanced AI text generation.
-
B.
GPT-3
GPT-3 is a large-scale autoregressive language model known for generating human-like text and performing a wide range of natural language tasks with minimal fine-tuning.
-
C.
LLaMA
LLaMA is a family of large language models developed by Meta AI, designed for efficient training and inference across a range of natural language processing tasks.
-
D.
GPT-Neo
GPT-Neo is an open-source family of autoregressive language models developed by EleutherAI as a free alternative to OpenAI’s GPT-3.
-
E.
DALL·E
DALL·E is an AI model developed by OpenAI that generates images from natural language descriptions, enabling text-to-image synthesis.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf | large language model ⓘ |
| accessMethod |
Vertex AI API
ⓘ
linked to:
Vertex AI
|
| announcedBy | Google ⓘ |
| announcementDate | 2023-05-10 ⓘ |
| announcementEvent |
Google I/O 2023
ⓘ
linked to:
Google I/O
|
| architecture | transformer ⓘ |
| capability |
conversational interaction
ⓘ
enhanced coding abilities ⓘ improved reasoning over PaLM ⓘ stronger multilingual performance ⓘ |
| company | Alphabet Inc. ⓘ |
| developer |
Google
ⓘ
Google DeepMind ⓘ
linked to:
DeepMind
|
| familyMember |
PaLM 2 Bison
ⓘ
linked to:
PaLM 2
PaLM 2 Gecko ⓘ
linked to:
PaLM 2
PaLM 2 Otter ⓘ
linked to:
PaLM 2
PaLM 2 Unicorn ⓘ
linked to:
PaLM 2
|
| followedBy |
Gemini
ⓘ
Gemini 1.0 ⓘ Gemini 1.5 ⓘ |
| follows |
PaLM
ⓘ
linked to:
PaLM 2
|
| language | English ⓘ |
| optimizationFor |
efficiency
ⓘ
latency-sensitive applications ⓘ |
| partOf | Google AI model family ⓘ |
| provider | Google Cloud ⓘ |
| status | superseded in flagship role by Gemini models ⓘ |
| supports |
classification
ⓘ
code generation ⓘ multilingual text ⓘ question answering ⓘ reasoning tasks ⓘ translation ⓘ |
| trainingDataType |
books
ⓘ
code ⓘ multilingual corpora ⓘ web text ⓘ |
| usedFor |
consumer-facing AI features
ⓘ
enterprise AI applications ⓘ |
| usedIn |
Bard
ⓘ
Duet AI for Google Cloud ⓘ
linked to:
Google AI Studio
Duet AI for Workspace ⓘ Google Docs AI features ⓘ Google Gmail AI features ⓘ Google Search generative features ⓘ Google Sheets AI features ⓘ
linked to:
Google Sheets
Vertex AI PaLM 2 APIs ⓘ
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: PaLM 2 Description of subject: PaLM 2 is a large-scale language model developed by Google, known for powering various AI features across Google products before being succeeded by the Gemini family of models.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: PaLM 2
linked to: PaLM 2
linked to: PaLM 2
linked to: PaLM 2