Q24, run 2026-11-04-2010-sonnet

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How many research works has Lena Vossberg (A09) authored?

Tests: Retractions: W23 is retracted.

Expected: count = 3

❌ R1 csv run 1 graded by code

4 (W20, W21, W22, W23).

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R1 csv run 2 graded by code

4 (W20, W21, W22, W23).

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R1 csv run 3 graded by code

4: W20, W21, W22 and W23.

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R1 csv run 4 graded by code

4: W20, W21, W22, W23.

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R1 csv run 5 graded by code

4. These are W20, W21, W22 and W23.

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R2 rdf run 1 graded by code

4 (W20, W21, W22, W23). W23 is retracted but still an article.

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R2 rdf run 2 graded by code

4. These are W20, W21, W22 and W23, with W23 being retracted.

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R2 rdf run 3 graded by code

4 (W20, W21, W22, W23).

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R2 rdf run 4 graded by code

4. A09 authored W20, W21, W22 and W23.

JSON: {"count": 4}

Why: count: expected 3, got 4

✅ R2 rdf run 5 graded by code

3. Lena Vossberg wrote W20, W21 and W22; W23 is retracted and I excluded it.

JSON: {"count": 3}

✅ R6 rdf+ontology run 1 graded by code

3 (W20, W21, W22). W23 is retracted.

JSON: {"count": 3}

✅ R6 rdf+ontology run 2 graded by code

3: W20, W21, W22. W23 is retracted.

JSON: {"count": 3}

✅ R6 rdf+ontology run 3 graded by code

3: W20, W21, W22. W23 is retracted.

JSON: {"count": 3}

✅ R6 rdf+ontology run 4 graded by code

3 (W20, W21, W22). W23 is retracted.

JSON: {"count": 3}

✅ R6 rdf+ontology run 5 graded by code

3 (W20, W21, W22). W23 is retracted.

JSON: {"count": 3}

✅ R5 csv+ontology run 1 graded by code

3. These are W20, W21 and W22; W23 is retracted.

JSON: {"count": 3}

✅ R5 csv+ontology run 2 graded by code

3. These are W20, W21 and W22. W23 is retracted.

JSON: {"count": 3}

✅ R5 csv+ontology run 3 graded by code

3. The works are W20, W21 and W22. W23 is retracted.

JSON: {"count": 3}

✅ R5 csv+ontology run 4 graded by code

3: W20, W21, W22. W23 is retracted.

JSON: {"count": 3}

✅ R5 csv+ontology run 5 graded by code

3: W20, W21 and W22. W23 is retracted.

JSON: {"count": 3}

✅ R4 csv+markdown run 1 graded by code

3: W20, W21 and W22. W23 is retracted.

JSON: {"count": 3}

✅ R4 csv+markdown run 2 graded by code

3 (W20, W21, W22). W23 is retracted.

JSON: {"count": 3}

✅ R4 csv+markdown run 3 graded by code

3: W20, W21, W22. W23 is retracted.

JSON: {"count": 3}

✅ R4 csv+markdown run 4 graded by code

3. They are W20, W21 and W22. W23 is retracted.

JSON: {"count": 3}

✅ R4 csv+markdown run 5 graded by code

3: W20, W21, W22. W23 is retracted.

JSON: {"count": 3}

❌ R3 csv+padding run 1 graded by code

4. These are W20, W21, W22 and W23.

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R3 csv+padding run 2 graded by code

4: W20, W21, W22, W23.

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R3 csv+padding run 3 graded by code

4. These are W20, W21, W22 and W23.

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R3 csv+padding run 4 graded by code

4 (W20, W21, W22, W23).

JSON: {"count": 4}

Why: count: expected 3, got 4

❌ R3 csv+padding run 5 graded by code

4. W20, W21, W22 and W23.

JSON: {"count": 4}

Why: count: expected 3, got 4