Triple

T13894618
Position Surface form Disambiguated ID Type / Status
Subject MSN Messenger E334055 entity
Predicate replacedBy P101 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: [MSN Messenger, replacedBy, Skype]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skype
Context triple: [MSN Messenger, replacedBy, 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. Skype for Business Web App
    Skype for Business Web App is a browser-based client that lets users join and participate in Skype for Business meetings without installing the full desktop application.
  • C. 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.
  • D. Webex
    Webex is Cisco’s cloud-based suite of video conferencing, online meeting, and team collaboration tools used by businesses and organizations worldwide.
  • E. 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.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a741908190bdf46d76c5f1411a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71eb1808190b0a3a28a8011e9c7 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.