When Names Cross Scripts: A Source-Grounded Benchmark for Historical Entity Reconciliation in the Mongol World
Historical people may appear under different languages, scripts, and transcription traditions, while distinct individuals may share highly similar or even identical names. This makes historical identity reconciliation more than a problem of string matching or transliteration. We introduce MHER, a provenance-controlled benchmark for pairwise reconciliation of person-name attestations from the Mongol world. MHER contains a balanced 396-pair Name-only core over 84 primary historical persons and a stricter 160-pair Source-grounded subset constructed from mention-by-source evidence, with entity-dis
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzySimilar title/name (fuzzy) · 59%jeinlee1991/chinese-llm-benchmark →
“Fuzzy title match (0.73): “When Names Cross Scripts: A Source-Grounded Benchmark for Hi” ≈ “jeinlee1991/chinese-llm-benchmark””
- LinkedLinked via arxiv author · 85%Xiang Chen →
“When Names Cross Scripts: A Source-Grounded Benchmark for Historical Entity Reconciliation in the Mongol World”
- LinkedLinked via arxiv author · 85%Zeyu Zhang →
“When Names Cross Scripts: A Source-Grounded Benchmark for Historical Entity Reconciliation in the Mongol World”