Triple

T5501527
Position Surface form Disambiguated ID Type / Status
Subject Hit Refresh E144338 entity
Predicate setInOrganization P65109 FINISHED
Object Microsoft E1649 NE FINISHED

How this triple was built (3 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 | Statement: [Hit Refresh, setInOrganization, Microsoft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Microsoft
Context triple: [Hit Refresh, setInOrganization, Microsoft]
  • A. Microsoft chosen
    Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
  • B. Micros Systems
    Micros Systems was a leading provider of point-of-sale and hospitality management software and hardware solutions for restaurants, hotels, and retail businesses.
  • C. WIN Corporation
    WIN Corporation is an Australian media company best known for owning and operating the WIN Television network and related broadcasting assets.
  • D. Microsoft Office
    Microsoft Office is a widely used suite of productivity applications developed by Microsoft, including programs for word processing, spreadsheets, presentations, email, and more.
  • E. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: setInOrganization
Context triple: [Hit Refresh, setInOrganization, Microsoft]
  • A. setInFictionalOrganization
    Indicates that an entity is located within, associated with, or takes place inside a fictional organization.
  • B. usedInOrganization
    Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
  • C. usesOrganization
    Indicates that one entity makes use of, relies on, or operates through a particular organization to perform its functions or activities.
  • D. toOrganization
    Indicates a relationship where something or someone is directed, transferred, or associated toward a specific organization as the destination or target.
  • E. hasPositionInOrganization
    Indicates that an entity holds a specific role, job, or position within a particular organization.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f0a512c81908f077378917e5879 completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ca3e7cc8190b8092983f8db66b6 completed March 22, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69c01b052f3c81909f71c6add0f35a6f completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f051e508190b3886d87b4afdd0b completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:32 p.m.