Triple

T6034445
Position Surface form Disambiguated ID Type / Status
Subject Cortana E134382 entity
Predicate platform P1292 FINISHED
Object Windows Search E192046 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: Windows Search | Statement: [Cortana, platform, Windows Search]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windows Search
Context triple: [Cortana, platform, Windows Search]
  • A. Windows Search chosen
    Windows Search is a desktop search platform in Microsoft Windows that indexes files, emails, and other data to provide fast, integrated search across the operating system.
  • B. File Explorer
    File Explorer is the built-in file management application in Microsoft Windows that lets users browse, organize, and manage files, folders, and drives on their computer.
  • C. Bing
    Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
  • D. MultiFinder
    MultiFinder was an extension to the classic Mac OS that enabled cooperative multitasking, allowing users to run and switch between multiple applications simultaneously.
  • E. Internet search
    Internet search is the process of using specialized software and algorithms to locate relevant information across the World Wide Web based on user queries.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b33a7c8190ad6282286199b192 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11388aec881908408d5844c96ea2d completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.