Triple

T22814683
Position Surface form Disambiguated ID Type / Status
Subject Windows Copilot E565067 entity
Predicate relatedProduct P37 FINISHED
Object Bing Chat 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: Bing Chat | Statement: [Windows Copilot, relatedProduct, Bing Chat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bing Chat
Context triple: [Windows Copilot, relatedProduct, Bing Chat]
  • A. Libera Chat
    Libera Chat is a prominent free and open-source–focused IRC network that hosts real-time discussion channels for numerous software projects and online communities.
  • B. Bing chosen
    Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
  • C. BARD Mobile app
    The BARD Mobile app is a specialized application that provides accessible audio and braille books and magazines to people who are blind, visually impaired, or print disabled.
  • D. Meta AI assistant
    Meta AI assistant is an artificial intelligence–powered virtual assistant created by Meta to help users with tasks like answering questions, generating content, and interacting across Meta’s platforms.
  • E. Cleverbot
    Cleverbot is an artificial intelligence chatbot known for its human-like conversational abilities and recognition in Turing test–style competitions.
  • 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_69f17d62b0ec8190ac22909192e8a876 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:33 p.m.