Triple

T962800
Position Surface form Disambiguated ID Type / Status
Subject Bill Gates E20772 entity
Predicate notableWork P4 FINISHED
Object Microsoft Office E1649 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: Microsoft Office | Statement: [Bill Gates, notableWork, Microsoft Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Microsoft Office
Context triple: [Bill Gates, notableWork, Microsoft Office]
  • A. 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.
  • B. Microsoft chosen
    Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
  • C. Outlook
    Outlook is an opinion and analysis section of The Washington Post featuring commentary, essays, and in-depth perspectives on current events and issues.
  • D. Outlook
    Outlook is Microsoft’s email and personal information management application that provides integrated email, calendar, contacts, and task functionality for individuals and organizations.
  • E. Apple iWork
    Apple iWork is Apple's suite of productivity applications, including Pages, Numbers, and Keynote, designed for document creation, spreadsheets, and presentations across macOS, iOS, and iCloud.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b416cf4c8190bd685227db25fb53 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a6107481909b152291a73958d3 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.