Triple

T452422
Position Surface form Disambiguated ID Type / Status
Subject Skype E7156 entity
Predicate originalDeveloper P184 FINISHED
Object Skype Technologies S.A. 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 Technologies S.A. | Statement: [Skype, originalDeveloper, Skype Technologies S.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skype Technologies S.A.
Context triple: [Skype, originalDeveloper, Skype Technologies S.A.]
  • 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. Microsoft
    Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
  • C. Lumen Technologies
    Lumen Technologies is a U.S.-based telecommunications and technology company that provides internet, networking, cloud, and security services to businesses and consumers.
  • D. Tandberg
    Tandberg is a Norwegian company best known for its video conferencing and telepresence solutions, which became part of Cisco Systems after its acquisition.
  • 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_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_69a44cbc3b708190ab27ce4d323472b9 completed March 1, 2026, 2:27 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.