Triple

T2741412
Position Surface form Disambiguated ID Type / Status
Subject Microsoft 365 F3 E60757 entity
Predicate hasComponent P35 FINISHED
Object Microsoft Stream E276981 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 Stream | Statement: [Microsoft 365 F3, hasComponent, Microsoft Stream]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Microsoft Stream
Context triple: [Microsoft 365 F3, hasComponent, Microsoft Stream]
  • A. Office 365 Video chosen
    Office 365 Video was Microsoft’s earlier enterprise video-sharing and management service within Office 365, later superseded by Microsoft Stream.
  • B. Vdio
    Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
  • C. Pluto TV
    Pluto TV is a free, ad-supported internet television streaming service offering live channels and on-demand content across a wide range of genres.
  • D. YouTube Theater
    YouTube Theater is a modern, mid-sized indoor entertainment venue and performance space located in Inglewood, California, often used for concerts, award shows, and live events.
  • E. Surface Hub
    Surface Hub is Microsoft's large interactive whiteboard and collaboration device designed for meetings, presentations, and team productivity in business and educational environments.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb303898819098a7d192e29817f8 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbca8ac081909ce86d4cd911b4f1 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.