Triple

T452078
Position Surface form Disambiguated ID Type / Status
Subject Microsoft 365 E7151 entity
Predicate includes P1393 FINISHED
Object Outlook E34628 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: Outlook | Statement: [Microsoft 365, includes, Outlook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outlook
Context triple: [Microsoft 365, includes, Outlook]
  • A. Outlook chosen
    Outlook is Microsoft’s email and personal information management application that provides integrated email, calendar, contacts, and task functionality for individuals and organizations.
  • B. Gmail
    Gmail is Google's widely used web-based email service known for its large storage capacity, powerful search, and integration with other Google products.
  • C. Lotus Notes
    Lotus Notes is a collaborative client-server software platform best known for its email, calendaring, and business application capabilities, widely used in enterprises for groupware and workflow solutions.
  • D. Microsoft 365
    Microsoft 365 is a subscription-based suite of productivity and collaboration tools that combines Office applications with cloud services, security features, and device management.
  • E. Mail
    Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef854f7481909dc2207faf0327ec completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44802e858819081a0b5b98bb25bce completed March 1, 2026, 2:06 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.