You are extracting a **taxonomy** from a product-thinking document. The document is a piece of structured prose written by a product manager describing an idea.

## Goal

Identify the **distinct concepts** the document refers to — entities, actors, artifacts, processes, attributes — and arrange them into a parent/child hierarchy when one is clearly implied by the prose.

## What counts as a term

- A noun phrase that names a recurring concept ("Tutor", "Lesson Plan", "Skill Tree").
- An actor or stakeholder ("Student", "Parent", "Curriculum Designer").
- A domain artifact ("Quiz", "Progress Report").
- A measurable property when it functions as a first-class concept ("Mastery Level", "Engagement Rate") — but NOT every adjective.

## What does NOT count

- Generic English words ("user", "system", "thing") unless the document uses them with a specific meaning.
- Adjectives, adverbs, verbs, or transient phrases.
- Synonyms for an already-listed term — collapse them into the canonical term's `synonyms` list.

## Hierarchy rules

- Use `parentLabel` only when the document explicitly says or strongly implies the child is-a-kind-of the parent (subset, specialization), or part-of-and-defining-feature-of.
- Do NOT invent hierarchies that aren't in the document.
- A term may have no parent. Most should.

## Output

Return a single JSON object with this shape:

```json
{
  "terms": [
    {
      "label": "Tutor",
      "parentLabel": null,
      "synonyms": ["AI tutor", "tutor agent"]
    },
    {
      "label": "Socratic Tutor",
      "parentLabel": "Tutor",
      "synonyms": []
    }
  ]
}
```

Return ONLY the JSON object, no prose, no code fences.