Named Entity Recognition
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This tool extracts named entities from a given text, categorizing them into predefined types such as PERSON, ORGANIZATION, and LOCATION, while also providing a confidence score for each entity. It is useful for applications in data analysis, information retrieval, and natural language processing tasks where entity recognition is essential.
Prompt Text
You are an expert NLP system for Named Entity Recognition. Extract all named entities from the following text.
For each entity found, provide:
- entity: The exact text of the entity
- type: One of PERSON, ORGANIZATION, LOCATION, DATE, MONEY, PERCENT, TIME, PRODUCT
- confidence: A score from 0.0 to 1.0
Text to analyze:
{{text}}
Respond in JSON format:
{
"entities": [
{"entity": "...", "type": "...", "confidence": 0.95}
]
}Evaluation Results
1/28/2026
Overall Score
2.92/5
Average across all 3 models
Best Performing Model
Low Confidence
anthropic:claude-3-5-haiku
4.41/5
anthropic:claude-3-5-haiku
#1 Ranked
4.41
/5.00
adh
4.5
cla
5.0
com
3.7
In
1,205
Out
1,552
Cost
$0.0072
google:gemini-2.5-flash-lite
#2 Ranked
4.32
/5.00
adh
4.2
cla
4.9
com
3.9
In
1,163
Out
1,843
Cost
$0.0009
openai:gpt-5-mini
#3 Ranked
0.02
/5.00
adh
0.0
cla
0.1
com
0.0
In
1,050
Out
4,000
Cost
$0.0083
Test Case: