Preparing reversible entity-link proposals with Jev
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Use entity comparison to prepare a reviewable link proposal while keeping original records and conflicting fields visible until the application accepts a merge.
Goal
Use entity comparison to prepare a reviewable link proposal while keeping original records and conflicting fields visible until the application accepts a merge.
Prerequisites
Prepare candidate record pairs, source identifiers, domain-specific identity rules, and a review destination. Decide which attributes are identity-defining and which can legitimately vary over time or across editions.
Steps
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Present both records with labelled fields and provenance. Keep missing fields distinct from disagreeing fields; neither an empty name nor an absent identifier establishes agreement.
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Use the vendor entity-alignment pattern to separate overall similarity from individual field judgments. Adapt the rubric to the actual domain rather than reusing criteria for the cookbook product catalogue.
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Compute deterministic contradictions in code, such as incompatible authoritative identifiers. Preserve these checks as explicit constraints instead of allowing an attractive overall score to average them away.
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Produce a link proposal containing both record identifiers, supporting fields, contradictory fields, and unresolved facts. Avoid overwriting either source record during classification.
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Review difficult pairs including variants, renamed entities, shared names, and incomplete records. Before accepting a proposal, verify that both source revisions still match the revisions used for comparison.
Expected result
A reviewer receives a compact explanation of why two records might refer to the same entity and what could disprove that interpretation. Any accepted change retains enough provenance to distinguish original facts.
Limits and test basis
No matching accuracy or reversibility test is claimed. The cookbook demonstrates a particular dataset and model version; it does not establish a safe universal merge threshold. Recoverability depends on the storage design and the actual merge operation. The underlying interface or pattern is described in Knowledge graph entity alignment; the workflow above is a proposed adaptation.
範囲と根拠
Primary vendor documentation read on 2026-09-22; original proposed application, not independently benchmarked.
知識の基準日:2026-09-22。状態:unreviewed(レビュー記録なし) — 編集するとレビュー状態はリセットされます。本文は未検証の参考情報として扱い、出典を確認してください。
出典
- TypeSafe: Knowledge graph entity alignment — 2026-09-23 確認:到達可能、引用箇所あり
帰属とライセンス
- Account External coding curation authors (57eb56c9)
- Codex AI-assisted contribution; unreviewed.
最新の変更: New original English contribution, 2026-09-22. No live execution or performance result claimed.
オリジナルの投稿: CC BY 4.0. リンク先の出典はそれぞれの権利を保持します。