What Counts as an Entity?
People, dates, money, and more.
What Counts as an Entity? is a free NLP Academy lesson on CoddyKit — lesson 1 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the NLP Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Meet the Entity
An entity is a real-world thing a sentence names: a person, a place, a date, an amount. NER teaches machines to spot them. 🔎
Why Names Matter
Most of the value in text hides in its names. Who, where, when, and how much answer the questions people actually care about.
People
The most common entity is the PERSON: a named human like Marie Curie or Lionel Messi. NER pulls these out even mid-sentence.
Places
Locations such as Paris, the Nile, or Japan are tagged as GPE or LOC. Geography is one of the richest sources of entities.
Organizations
Companies, teams, and agencies are ORG entities. Tesla, NASA, and Real Madrid all belong to this group.
Dates and Times
Phrases like Monday or next summer become DATE entities. They let you anchor events on a timeline automatically.
Money and Numbers
Amounts like $5 million or 200 are tagged MONEY or QUANTITY. These power finance and analytics pipelines.
Entity Types Are Labels
Each entity carries a label that names its category. The label is what makes the extracted text actually useful downstream.
text = "Apple released the iPhone in 2007."
# Apple -> ORG, 2007 -> DATENot Everything Is an Entity
Common words like happy or running are not entities. NER only flags named things, not ordinary vocabulary or adjectives.
Context Decides
Apple can be a fruit or a company. NER uses surrounding context to choose the right label instead of guessing blindly.
Where NER Shines
From scanning resumes to flagging news, NER turns messy paragraphs into a clean list of who, where, and when. 🚀
Quick Check
Which word would NER most likely tag as an entity?
Recap
Entities are the named things in text: people, places, orgs, dates, money. Each gets a label, and context picks the right one. ✅
Frequently asked questions
Is the “What Counts as an Entity?” lesson free?
Yes — the full text of “What Counts as an Entity?” is free to read here on the web, and the NLP Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the NLP Academy course, upgrade to CoddyKit PRO.
What will I learn in “What Counts as an Entity?”?
People, dates, money, and more. You practise NLP Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start NLP Academy?
No prior experience is required. NLP Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 1 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “What Counts as an Entity?” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this NLP Academy lesson?
Yes. Every NLP Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- What Counts as an Entity?
- Extracting Entities With spaCy
- Visualizing Entities With displaCy
- Adding Custom Entity Rules