Prompts
Entity Recognition and Resolution
Entity Recognition and Resolution
Prompt playbooks for identifying named entities—people, organizations, products, locations—and resolving them to canonical forms. Useful for search, analytics, and knowledge graph teams who need consistent entity references across documents.
Named Entity Recognition Prompt Template for Unstructured Text
For data engineers building extraction pipelines. Produces typed entity spans (person, org, location, product, date) with source offsets. Includes eval checks for boundary precision and type confusion between overlapping categories.
Person Name Extraction and Canonicalization Prompt Template
For identity resolution teams. Extracts person names and resolves variations (nicknames, titles, suffixes) to a canonical full-name format. Includes handling for multi-word surnames, honorifics, and ambiguous single-name references.
Organization Entity Extraction Prompt for News Articles
For media monitoring and intelligence analysts. Extracts organization mentions with legal name, ticker, and parent-subsidiary disambiguation. Includes eval checks for DBA names, abbreviations, and post-merger entity confusion.
Product Mention Detection and Resolution Prompt Template
For e-commerce and market intelligence teams. Identifies product references and maps them to canonical SKUs or catalog entries. Includes handling for model numbers, generational variants, and informal product nicknames.
Location Extraction and Geocoding Normalization Prompt Template
For logistics and geospatial analytics teams. Extracts location mentions and normalizes to structured geo-references (city, region, country, coordinates). Includes disambiguation for同名 cities and handling of historical or colloquial place names.
Multi-Entity Extraction Prompt with Strict Schema Output
For integration engineers needing typed entity records. Extracts all entity types simultaneously into a predictable JSON schema with entity type, mention text, canonical form, and confidence. Includes null handling for documents missing entire entity categories.
Entity Disambiguation Prompt Using Context Windows
For knowledge graph teams resolving ambiguous names. Uses surrounding context to disambiguate entities (e.g., 'Apple' the company vs. fruit) and selects the correct canonical ID. Includes eval checks for context window sufficiency and resolution confidence.
Cross-Document Entity Resolution Prompt Template
For investigation teams linking entities across multiple documents. Merges partial profiles, deduplicates references, and produces a unified entity record with source provenance. Includes conflict handling when documents disagree on entity attributes.
Entity Linking Prompt to Canonical Knowledge Base
For teams grounding extracted entities in authoritative sources. Links extracted entity mentions to canonical KB entries (Wikidata, DBPedia, internal master data) with match confidence. Includes abstention when no suitable canonical match exists.
Entity Confidence Scoring Prompt Template
For data quality engineers who need auditable extraction. Attaches confidence scores to each extracted entity and flags ambiguous spans for review. Includes threshold guidance for distinguishing high-confidence automation from low-confidence human escalation.
Null vs. Missing Entity Handling Prompt Template
For pipeline engineers preventing downstream ingestion failures. Distinguishes between 'entity type not present in document,' 'entity present but unextractable,' and 'entity type not applicable.' Includes output contracts that downstream systems can parse safely.
Entity Extraction with Source Attribution Prompt Template
For audit and compliance teams requiring traceable provenance. Anchors every extracted entity to its source span, sentence, or document section. Includes eval checks for attribution accuracy and handling of entities implied but not explicitly stated.
Multi-Language Entity Recognition Prompt Template
For global platform teams processing multilingual corpora. Extracts entities across languages with language-appropriate normalization and script handling. Includes eval checks for transliteration consistency and language-specific entity boundary rules.
Entity Relationship Extraction Prompt for Graph Databases
For graph engineers building knowledge graphs from text. Extracts subject-predicate-object triples with entity grounding and relationship type classification. Includes handling for implicit relationships and multi-hop relationship inference.
Person Entity Deduplication Prompt Across Records
For CRM and identity resolution teams. Compares person records across sources and determines if they refer to the same individual. Includes handling for partial name matches, address changes, and conflicting attributes with resolution rationale.
Organization Name Normalization Prompt Template
For master data management teams. Normalizes organization names to a standard legal form, handling suffixes (Inc, Ltd, GmbH), abbreviations, and legacy names. Includes eval checks for post-acquisition name changes and regional subsidiary variations.
Temporal Entity Recognition and Normalization Prompt Template
For timeline and event analysis teams. Extracts dates, times, durations, and relative temporal expressions and normalizes to ISO 8601 or a specified standard. Includes handling for fuzzy dates ('early 2020s'), fiscal calendars, and timezone resolution.
Entity Extraction Prompt for Legal Contracts
For legal operations teams. Extracts parties, dates, jurisdictions, governing law, and defined terms from contract text. Includes handling for counterparty aliases, amendment chains, and entity roles (licensor, lessee, indemnitor).
Entity Resolution Prompt for Customer Support Tickets
For support operations teams. Extracts and resolves customer, product, agent, and issue-type entities from ticket text. Includes handling for informal product names, customer aliases, and linking tickets to account records.
Entity Canonicalization Prompt for Address Data
For logistics and data quality teams. Normalizes extracted addresses to a standard postal format with country-specific rules. Includes handling for partial addresses, PO boxes, rural routes, and address component confidence scoring.
Entity Extraction Prompt for Financial Filings
For financial analysts and compliance teams. Extracts company names, filing types, dates, monetary amounts, and regulatory references from SEC filings and annual reports. Includes handling for subsidiary relationships and restated figures.
Entity Resolution Prompt for Identity Matching
For fraud and security teams. Compares identity records (name, DOB, address, document numbers) and determines match likelihood with rationale. Includes handling for transliterated names, data entry errors, and deliberate obfuscation indicators.
Entity Extraction Prompt for Meeting Transcripts
For knowledge management teams. Extracts mentioned people, projects, decisions, dates, and action-item owners from meeting transcripts. Includes handling for speaker references, nickname resolution, and implied attendees versus mentioned parties.
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