Triple

T8286058
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Network (MSN) client E193788 entity
Predicate supportedService P16415 FINISHED
Object MSN content channels E438362 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: MSN content channels | Statement: [Microsoft Network (MSN) client, supportedService, MSN content channels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSN content channels
Context triple: [Microsoft Network (MSN) client, supportedService, MSN content channels]
  • A. Channels
    Channels is a Django extension that adds support for handling WebSockets, long-running connections, and background tasks, enabling asynchronous and real-time capabilities in Django applications.
  • B. MSN
    MSN is the three-letter IATA airport code for Dane County Regional Airport serving Madison, Wisconsin.
  • C. MSN chosen
    MSN is a Microsoft-owned web portal and collection of Internet services offering news, entertainment, email, and other online content.
  • D. Core Contents Media
    Core Contents Media was a South Korean entertainment company best known for managing popular K-pop acts before rebranding as MBK Entertainment.
  • E. Channel
    Channel is a common alternative name for the English Channel, the narrow arm of the Atlantic Ocean that separates southern England from northern France.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad3722481908076508908d18621 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd688441908190b6b0a39dfb9d87ac completed April 1, 2026, 6:48 p.m.
Created at: March 30, 2026, 5:52 p.m.