Triple

T2629078
Position Surface form Disambiguated ID Type / Status
Subject X11 E59590 entity
Predicate supportsExtension P203 FINISHED
Object RANDR
RANDR is an X11 extension that enables dynamic resizing, rotation, and configuration of displays in real time.
E284584 NE FINISHED

How this triple was built (4 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: RANDR | Statement: [X11, supportsExtension, RANDR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RANDR
Context triple: [X11, supportsExtension, RANDR]
  • A. Wayland
    Wayland is a modern display server protocol for Linux and other Unix-like systems designed to replace the X Window System with a simpler, more efficient architecture.
  • B. Wayland
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • C. X11
    X11 is a widely used windowing system and network-transparent graphical protocol that provides the foundational GUI framework for Unix-like operating systems.
  • D. KWin
    KWin is the KDE Plasma desktop environment’s highly configurable window manager and compositor, providing advanced window management, effects, and Wayland/X11 support.
  • E. Desktop Window Manager
    Desktop Window Manager is the compositing window manager in modern Microsoft Windows that handles visual effects, window rendering, and desktop composition using hardware acceleration.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RANDR
Triple: [X11, supportsExtension, RANDR]
Generated description
RANDR is an X11 extension that enables dynamic resizing, rotation, and configuration of displays in real time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RANDR
Target entity description: RANDR is an X11 extension that enables dynamic resizing, rotation, and configuration of displays in real time.
  • A. Wayland
    Wayland is a modern display server protocol for Linux and other Unix-like systems designed to replace the X Window System with a simpler, more efficient architecture.
  • B. Wayland
    Wayland is a small city in Allegan County, Michigan, known for its rural character and proximity to Grand Rapids.
  • C. X11
    X11 is a widely used windowing system and network-transparent graphical protocol that provides the foundational GUI framework for Unix-like operating systems.
  • D. KWin
    KWin is the KDE Plasma desktop environment’s highly configurable window manager and compositor, providing advanced window management, effects, and Wayland/X11 support.
  • E. Desktop Window Manager
    Desktop Window Manager is the compositing window manager in modern Microsoft Windows that handles visual effects, window rendering, and desktop composition using hardware acceleration.
  • F. None of above. chosen

Provenance (5 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c452508190b02e1630d725497a completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a44a348190b8b49b37418dd94b completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af9172ba248190bbc68a00b43d9b44 completed March 10, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69af92500920819082c651f75a06dd72 completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:50 p.m.