Triple

T29011248
Position Surface form Disambiguated ID Type / Status
Subject PC Paintbrush E736569 entity
Predicate inputDeviceSupport P2571 FINISHED
Object two-button mouse LITERAL 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: two-button mouse | Statement: [PC Paintbrush, inputDeviceSupport, two-button mouse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inputDeviceSupport
Context triple: [PC Paintbrush, inputDeviceSupport, two-button mouse]
  • A. inputDevice chosen
    Indicates that one entity functions as a device used to provide input to another entity or system.
  • B. supportsControllerInput
    Indicates that an entity is capable of receiving and handling input from a controller device.
  • C. supportsKeyboardAndMouse
    Indicates that the subject provides compatibility with and can be operated using both a keyboard and a mouse.
  • D. usesDevice
    Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
  • E. supportsKeyboard
    Indicates that one entity is compatible with or able to be operated using a keyboard as an input method.
  • F. None of above.

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_69f077eb81e88190ad9ff62cbb9f555e completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fdc78c481908836151d03329ae7 completed May 2, 2026, 8:34 p.m.
PD Predicate disambiguation batch_69f659d297cc8190b2b962ba30a1edb3 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 9:42 a.m.