Triple

T11655363
Position Surface form Disambiguated ID Type / Status
Subject SQL Mail E277000 entity
Predicate associatedWith P37 FINISHED
Object SQL Server Agent operators E277001 NE FINISHED

How this triple was built (2 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 Server Agent operators | Statement: [SQL Mail, associatedWith, SQL Server Agent operators]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SQL Server Agent operators
Context triple: [SQL Mail, associatedWith, SQL Server Agent operators]
  • A. SQL Server Agent chosen
    SQL Server Agent is a Microsoft SQL Server component that automates administrative tasks such as job scheduling, alerting, and routine maintenance operations.
  • B. MSIServer
    MSIServer is the Windows service that manages installation, modification, and removal of software using the Windows Installer technology.
  • C. Directory System Agent
    The Directory System Agent is a core component in X.500 directory services responsible for managing and providing access to directory information on behalf of clients and other directory servers.
  • D. DBA
    DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
  • E. SQL Server Authentication
    SQL Server Authentication is a SQL Server login method that uses credentials stored and validated by the database engine itself rather than relying on Windows accounts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3cee010819089cffdbefe5a6efb completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee88166900819095063f045be44bed completed April 26, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:39 p.m.