Triple

T11957429
Position Surface form Disambiguated ID Type / Status
Subject twm E284587 entity
Predicate influenced P9 FINISHED
Object fvwm 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: fvwm | Statement: [twm, influenced, fvwm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: fvwm
Context triple: [twm, influenced, fvwm]
  • 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. Xfwm4
    Xfwm4 is the lightweight, compositing window manager used by the Xfce desktop environment on Unix-like systems.
  • C. IceWM
    IceWM is a lightweight, fast, and highly configurable stacking window manager for the X Window System, popular on resource-constrained Linux and Unix-like systems.
  • D. Fluxbox
    Fluxbox is a lightweight, highly configurable stacking window manager for the X Window System, known for its speed and minimal resource usage.
  • E. twm
    twm is one of the earliest and simplest X11 window managers, known for its minimalist, classic stacking interface and role as a reference implementation.
  • 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.