Triple

T22814749
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Copilot E565068 entity
Predicate partOf P40 FINISHED
Object Windows ecosystem NE NERFINISHED

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: Windows ecosystem | Statement: [Microsoft Copilot, partOf, Windows ecosystem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windows ecosystem
Context triple: [Microsoft Copilot, partOf, Windows ecosystem]
  • A. Windows
    "Windows" is a 1979 psychological thriller film starring Elizabeth Ashley, known for its dark, suspenseful portrayal of obsession and voyeurism.
  • B. Windows
    "Windows" is a track by the hip-hop duo Common and No I.D. from their collaborative album "The Dreamer/The Believer."
  • C. Windows chosen
    Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
  • D. Windows
    Windows is a supporting character and radio operator in John Carpenter’s horror film "The Thing," serving alongside R.J. MacReady at the isolated Antarctic research station.
  • E. Linux ecosystem
    The Linux ecosystem is the broad, collaborative world of Linux-based operating systems, software, communities, and development practices that underpin much of today’s servers, embedded systems, and open-source infrastructure.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcb872881909a031d8560635fce completed April 29, 2026, 3:40 a.m.
Created at: April 17, 2026, 3:33 p.m.