Citation Source and Traceability for Film and Theater

What This Category’s Data Looks Like

Film and theater investment research data sources include in-house theater operation systems, publicly available filing information from the National Film Bureau, third-party box office statistics platforms, and public film and television project documents. Three update schedules apply:

Schedule data updates daily
Box office data is updated in aggregate per calendar day
Industry research reports and filing information are updated irregularly based on project milestones

Three types of document structures exist:

Structured tables (such as daily box office details)
Semi-structured documents (such as project feasibility study reports)
Unstructured text (such as audience feedback)

Fields include theater identifiers, screening sessions, daily box office, number of viewers, screening time slots, film copyright information, and more. Units include yuan, number of viewers, and number of screening sessions.

Constraints on Citation Source and Traceability Workflows

The multi-type and strongly time-sensitive nature of film and theater investment research data creates multiple constraints for the traceability process. Structured box office and schedule data must be tied to specific theater, date, and session identifiers. Traceability must match individual detailed entries, avoiding vague associations only with film titles. Strongly time-sensitive box office and schedule data require traceability information to include data update times. This prevents the use of expired information in citations. Scenarios with multiple document types require distinct traceability display formats for structured tables and unstructured text. Structured data must label detailed dimensions. Unstructured documents must show upload sources and file titles. Publicly available film project filing data requires traceability information to clearly mark data acquisition channels, to meet compliance requirements.

Configuration Recommendations

Configuration Item	Recommended Value	Rationale
`Recall Count`	`Top 6-8 entries`	Film and theater investment research data mostly consists of detailed items. Too many recall entries lead to display redundancy, too few fail to cover core investment research dimensions. 6-8 entries balance coverage and conciseness
`Similarity Threshold`	`0.75-0.85`	Structured schedule and box office data require high similarity matching to avoid incorrectly associating films with the same title from unrelated theaters. This range improves matching accuracy
`Source Display Format`	`Display separately by data type`	Film and theater data includes structured tables and unstructured text. Separate display allows investment research personnel to quickly distinguish detailed data and analysis documents
`Parse Structured Tables`	`Enabled`	Structured box office and schedule tables are core investment research data sources. Enabling parsing extracts detailed fields such as theater and session, improving traceability accuracy
`Maximum Traceability Content Length`	`1200 characters`	Film and theater detailed data mostly consists of short entries. 1200 characters fully display core information for a single theater, avoiding truncation of critical content
`Automatically Identify Update Time Fields`	`Enabled`	Film investment research data has high timeliness requirements. Automatically identifying time fields automatically displays data update times during traceability, eliminating the need for manual labeling

The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Phenomenon: Only document titles appear in citation displays, without detailed information such as theater names and data dates. Cause: The Parse Structured Tables configuration is not enabled, or the separate display rule for Source Display Format is not configured. This prevents extraction of core fields from structured data.
Phenomenon: The large language model references expired schedule data without labeling update times. Cause: The Automatically Identify Update Time Fields configuration is not enabled, or time fields are not correctly filled when uploading documents. This leads to missing timeliness identifiers in traceability information.
Phenomenon: The large language model fails to recall structured data from the film and theater knowledge base in non-tool call mode. Cause: The Similarity Threshold is set too high, causing structured schedule and box office data to fail recall due to insufficient keyword matching. Or the Recall Count is set too low, excluding core data from the recall range.

How to Verify Proper Configuration

Upload a daily box office table document for film and theater, initiate an investment research query that includes a specific theater name. Verify that the citation display includes detailed fields such as theater, session, and box office.
Check each entry in the citation list to confirm that data update time identifiers are included. For structured documents, match corresponding data time information.
Adjust the Similarity Threshold parameter, initiate a query that includes a specific screening time slot. Verify that recalled knowledge base entries match the target scenario.
Check the citation display format to confirm that structured tables and unstructured text have different display styles, making it easy to distinguish different types of data sources.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.