Entity Search Query System Resolving Ambiguity

The patent segments the search query processing into distinct phases: initial broad search to identify multiple potential entities, followed by entity-specific search queries for each candidate entity. This segmentation allows the system to first expand search coverage by considering multiple entities, then narrow down to provide relevant results for each specific entity, thereby resolving the contradiction between comprehensive coverage and result relevance.

The patent introduces an intermediary entity resolution mechanism that acts as a mediator between the search query and the final search results. This intermediary component analyzes the query, identifies multiple potential entities, and facilitates the selection of the most relevant entity through additional search queries. The intermediary resolves ambiguity by systematically evaluating multiple entities before presenting final results, thus maintaining both coverage and relevance.

The patent applies preliminary action by performing entity identification and candidate generation before executing the main search queries. The system预先 identifies multiple potential entities associated with the search query and prepares entity-specific search queries in advance. This preliminary processing reduces the time required during the actual search execution, as the framework already knows which entities to search for and can efficiently manage multiple concurrent searches, thereby improving relevance without proportionally increasing total search time.

The patent implements dynamic search query generation where the system adapts the search strategy based on real-time feedback and entity relevance assessment. The search process dynamically adjusts between broad initial searches and focused entity-specific searches, optimizing the balance between search time and result relevance. The system can dynamically prioritize entities based on user interactions and search patterns, reducing unnecessary search time while maintaining high relevance for the most likely entities.

The patent implements a universal query processing framework that handles multiple functions within a single integrated system. The same core infrastructure processes both the initial broad search, entity identification, entity-specific searches, and result aggregation. This multi-functional approach avoids the need for separate specialized systems for each function, thereby improving entity identification accuracy through comprehensive processing while controlling overall system complexity by reusing existing components across multiple tasks.

The patent uses copying by creating a standardized template for entity-specific search queries that can be efficiently instantiated for different entities. Instead of building unique search logic for each entity type, the system copies and adapts a universal query template, reducing the complexity of handling diverse entities. This template-based approach maintains high identification accuracy by systematically applying the same rigorous matching criteria to all entities while significantly simplifying the implementation complexity through reuse and standardization.