feat(example): add per-entity LLM evaluations for 985 WoN entities (S3.3)

Batch evaluation of all 988 entities via OpenRouter. 984 succeeded on
first pass; 3 failed (network errors). eval-summary --update-metrics
written with per_entity_mean=3.9556.

Viability dashboard: 6/6 PASS
  redundancy_ratio   0.0061  (max 0.10)
  coverage_ratio     0.6190  (min 0.40)
  coherence_comps    0.0000  (max 3)
  consistency_cycles 0.0000  (max 0)
  granularity_entropy 2.6748 (min 1.0)
  per_entity_mean    3.9556  (min 3.5)

Dimension breakdown (mean across 985 entities):
  definition_precision  3.62
  source_grounding      4.36
  domain_placement      4.56
  vsm_relevance         3.31
  explanatory_value     3.94

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

examples/infospace-with-history/output/evaluations/bank_credit_cycles.md

@@ -0,0 +1,63 @@
+---
+entity_slug: bank_credit_cycles
+evaluator: null
+evaluated_at: '2026-02-23T00:37:51.279509'
+overall_score: 4.0
+scores:
+- name: definition_precision
+  value: 4.0
+  max_value: 5.0
+  rationale: The definition clearly describes a specific economic phenomenon - recurring
+    patterns of credit expansion followed by contraction in banking systems. It avoids
+    circularity and identifies the key mechanism of over-extension followed by corrective
+    restriction.
+- name: source_grounding
+  value: 3.0
+  max_value: 5.0
+  rationale: While Smith does discuss banking behavior and credit in Book II, Chapter
+    2, the specific framing of "cycles" as a recurring systemic pattern may impose
+    a more modern analytical framework than Smith explicitly articulated. Smith focuses
+    more on individual bank behaviors than cyclical patterns.
+- name: domain_placement
+  value: 5.0
+  max_value: 5.0
+  rationale: '"General Theory" is the appropriate domain placement as this concept
+    deals with broad systemic patterns in banking and their economy-wide effects,
+    rather than specific operational mechanisms or particular institutional arrangements.'
+- name: vsm_relevance
+  value: 4.0
+  max_value: 5.0
+  rationale: This entity maps well to S2 (coordination/anti-oscillation) as it directly
+    concerns oscillatory behavior in the banking system that affects economic coordination.
+    It also has relevance to S4 (intelligence) regarding how banks respond to environmental
+    conditions.
+- name: explanatory_value
+  value: 4.0
+  max_value: 5.0
+  rationale: The entity provides genuine explanatory power by identifying a structural
+    mechanism that connects individual bank decision-making to broader economic effects.
+    It illuminates how micro-level banking behaviors aggregate into macro-level economic
+    patterns rather than merely naming a surface phenomenon.
+---
+
+# Evaluation: Bank Credit Cycles
+
+## definition_precision — 4.0 / 5.0
+
+The definition clearly describes a specific economic phenomenon - recurring patterns of credit expansion followed by contraction in banking systems. It avoids circularity and identifies the key mechanism of over-extension followed by corrective restriction.
+
+## source_grounding — 3.0 / 5.0
+
+While Smith does discuss banking behavior and credit in Book II, Chapter 2, the specific framing of "cycles" as a recurring systemic pattern may impose a more modern analytical framework than Smith explicitly articulated. Smith focuses more on individual bank behaviors than cyclical patterns.
+
+## domain_placement — 5.0 / 5.0
+
+"General Theory" is the appropriate domain placement as this concept deals with broad systemic patterns in banking and their economy-wide effects, rather than specific operational mechanisms or particular institutional arrangements.
+
+## vsm_relevance — 4.0 / 5.0
+
+This entity maps well to S2 (coordination/anti-oscillation) as it directly concerns oscillatory behavior in the banking system that affects economic coordination. It also has relevance to S4 (intelligence) regarding how banks respond to environmental conditions.
+
+## explanatory_value — 4.0 / 5.0
+
+The entity provides genuine explanatory power by identifying a structural mechanism that connects individual bank decision-making to broader economic effects. It illuminates how micro-level banking behaviors aggregate into macro-level economic patterns rather than merely naming a surface phenomenon.