Triple

T20645095
Position Surface form Disambiguated ID Type / Status
Subject Space Gray E507334 entity
Predicate usedOnProduct P12411 FINISHED
Object Magic Mouse 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: Magic Mouse | Statement: [Space Gray, usedOnProduct, Magic Mouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magic Mouse
Context triple: [Space Gray, usedOnProduct, Magic Mouse]
  • A. Apple Magic Mouse chosen
    The Apple Magic Mouse is a sleek, multi-touch wireless mouse designed by Apple for Mac computers, featuring gesture-based controls and a rechargeable battery.
  • B. Apple Pro Mouse
    The Apple Pro Mouse is a USB optical computer mouse introduced by Apple in 2000, notable for its buttonless, translucent design that complemented contemporary iMac and Power Mac systems.
  • C. Apple Desktop Bus Mouse
    The Apple Desktop Bus Mouse is a compact, single-button computer mouse designed by Apple for use with classic Macintosh systems that featured the Apple Desktop Bus interface.
  • D. Apple Wireless Keyboard
    The Apple Wireless Keyboard is a compact, Bluetooth-enabled keyboard designed by Apple for use with Mac computers and other compatible devices.
  • E. MacBook
    MacBook is Apple’s line of macOS-based laptop computers known for their sleek design, high-resolution displays, and tight hardware–software integration.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1dd79481909de985d03ab861c2 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.