Triple

T2555701
Position Surface form Disambiguated ID Type / Status
Subject Database Mail E56725 entity
Predicate replaces P101 FINISHED
Object SQL Mail
SQL Mail was an older Microsoft SQL Server feature for sending email notifications directly from the database engine, later superseded by Database Mail.
 E277000 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SQL Mail | Statement: [Database Mail, replaces, SQL Mail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SQL Mail
Context triple: [Database Mail, replaces, SQL Mail]
  • A. Database Mail
    Database Mail is a SQL Server component that enables the database engine to send email messages, alerts, and query results using SMTP.
  • B. SQL Server
    SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
  • C. SMTP
    SMTP (Simple Mail Transfer Protocol) is a standard communication protocol used for sending and routing email messages across IP networks.
  • D. Mailer
    Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
  • E. SQL Server Profiler
    SQL Server Profiler is a graphical tool for monitoring, tracing, and analyzing SQL Server database engine events in real time to help with performance tuning and troubleshooting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SQL Mail
Triple: [Database Mail, replaces, SQL Mail]
Generated description
SQL Mail was an older Microsoft SQL Server feature for sending email notifications directly from the database engine, later superseded by Database Mail.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SQL Mail
Target entity description: SQL Mail was an older Microsoft SQL Server feature for sending email notifications directly from the database engine, later superseded by Database Mail.
  • A. Database Mail
    Database Mail is a SQL Server component that enables the database engine to send email messages, alerts, and query results using SMTP.
  • B. SQL Server
    SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
  • C. SMTP
    SMTP (Simple Mail Transfer Protocol) is a standard communication protocol used for sending and routing email messages across IP networks.
  • D. Mailer
    Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
  • E. SQL Server Profiler
    SQL Server Profiler is a graphical tool for monitoring, tracing, and analyzing SQL Server database engine events in real time to help with performance tuning and troubleshooting.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30eec988190810346bb8b6cb489 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1ad6b4819097f1d18a12aa2b89 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dea244c81909bd6bcdba0edf958 completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e66a39c81909a49c272cd595c84 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.