Triple

T1622444
Position Surface form Disambiguated ID Type / Status
Subject Silver Lake Partners E35061 entity
Predicate notableInvestment P3488 FINISHED
Object Skype E7156 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: Skype | Statement: [Silver Lake Partners, notableInvestment, Skype]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skype
Context triple: [Silver Lake Partners, notableInvestment, Skype]
  • A. Skype chosen
    Skype is a widely used internet-based communication service that enables voice calls, video chats, and instant messaging across computers and mobile devices.
  • B. Google Duo
    Google Duo is a high-quality video and voice calling app developed by Google for simple, reliable one-to-one and group communication across mobile and web platforms.
  • C. Webex
    Webex is Cisco’s cloud-based suite of video conferencing, online meeting, and team collaboration tools used by businesses and organizations worldwide.
  • D. Skype for Business Online
    Skype for Business Online was Microsoft's cloud-based enterprise communication and collaboration service that provided messaging, meetings, and voice capabilities before being succeeded by Microsoft Teams.
  • E. Zoom
    Zoom is a built-in macOS accessibility feature that magnifies on-screen content to make it easier for users with low vision to see and interact with their display.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909cf3c7481909ddbe6a6596bb0c8 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58c9ed4c8190a546ec4977f60695 completed March 8, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:28 p.m.