Philo BLINK KG (Live)

Load built-in texts, link entities via spaCy NER, then build a co-mention graph for the current text.

How this tool works (for students)
Step 1 — Choose a text: pick a built-in reading (or paste your own).
Step 2 — Link entities: the computer tries to spot “things with names” (people, places, groups, books) and match them to a knowledge base.
Step 3 — Build a graph: we draw a picture of connections. Each dot is an entity, and a line means two entities were mentioned near each other in the text.
Glossary: Entity = a named thing • Mention = a place where the name appears in the text • Node = a dot • Edge = a line (connection)
Top K
Max nodes
Max mentions
API health
Tip: click a highlighted span to jump/select the same region in the text box.
Highlights: term inference contrast annotation
Study Tools
Concepts (key terms/phrases + evidence) and Argument cues (therefore/however/because…).
No study analysis yet
Click Study tools to extract key terms/phrases and argument markers.
Annotations
Your notes are saved in this browser (per built-in document).
No annotations yet. Select text in the box and click Add annotation.
Quick summary
Run “Link entities” to get a summary.
Graph
Build a graph to visualize it.
Edge strength(1…1)
Graph heightpx
No graph yet.
Raw JSON (advanced)
Linked entities
Graph

Endpoints: /api/health, /api/link, /api/graph, /api/study/analyze