Triple

T11957448
Position Surface form Disambiguated ID Type / Status
Subject fvwm E284588 entity
Predicate fullName P16 FINISHED
Object F Virtual Window Manager E284588 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: F Virtual Window Manager | Statement: [fvwm, fullName, F Virtual Window Manager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F Virtual Window Manager
Context triple: [fvwm, fullName, F Virtual Window Manager]
  • A. fvwm chosen
    fvwm is a highly configurable virtual window manager for the X Window System, known for its modular design and extensive customization capabilities.
  • B. Fluxbox
    Fluxbox is a lightweight, highly configurable stacking window manager for the X Window System, known for its speed and minimal resource usage.
  • C. Muffin window manager
    Muffin window manager is the compositing window manager developed for the Cinnamon desktop environment, providing window management and visual effects on Linux systems.
  • D. Xfwm4
    Xfwm4 is the lightweight, compositing window manager used by the Xfce desktop environment on Unix-like systems.
  • E. Marco window manager
    Marco window manager is the lightweight, traditional window manager used by the MATE desktop environment to provide classic window handling and compositing on Unix-like systems.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.