Triple

T8608705
Position Surface form Disambiguated ID Type / Status
Subject GTK E203866 entity
Predicate usedByApplication P44502 FINISHED
Object Evince
Evince is a free, open-source document viewer for the GNOME desktop environment that supports formats like PDF, PostScript, DjVu, and TIFF.
E745753 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: Evince | Statement: [GTK, usedByApplication, Evince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evince
Context triple: [GTK, usedByApplication, Evince]
  • A. Pluma text editor
    Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
  • B. Thunar
    Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
  • C. GNOME Files
    GNOME Files is the default file manager for the GNOME desktop environment, providing a graphical interface for browsing, organizing, and managing files and folders.
  • D. GNOME Web
    GNOME Web is the official web browser for the GNOME desktop environment, designed to be simple, integrated, and lightweight while using the WebKit rendering engine.
  • E. GSview
    GSview is a graphical user interface for viewing and managing PostScript and PDF files using the Ghostscript interpreter.
  • 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: Evince
Triple: [GTK, usedByApplication, Evince]
Generated description
Evince is a free, open-source document viewer for the GNOME desktop environment that supports formats like PDF, PostScript, DjVu, and TIFF.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Evince
Target entity description: Evince is a free, open-source document viewer for the GNOME desktop environment that supports formats like PDF, PostScript, DjVu, and TIFF.
  • A. Pluma text editor
    Pluma text editor is a lightweight, user-friendly text editor commonly used in Linux environments as part of the MATE desktop ecosystem.
  • B. Thunar
    Thunar is the lightweight, fast, and simple file manager designed for the Xfce desktop environment on Unix-like systems.
  • C. GNOME Files
    GNOME Files is the default file manager for the GNOME desktop environment, providing a graphical interface for browsing, organizing, and managing files and folders.
  • D. GNOME Web
    GNOME Web is the official web browser for the GNOME desktop environment, designed to be simple, integrated, and lightweight while using the WebKit rendering engine.
  • E. GSview
    GSview is a graphical user interface for viewing and managing PostScript and PDF files using the Ghostscript interpreter.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc5c2d852081908901f5d2a47035b0 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea90dd93081908140ac0ce23be820 completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69ceaa2c34308190a3bc7717012fea9d completed April 2, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69ceaae76d188190932826c9fd9f7f5f completed April 2, 2026, 5:44 p.m.
Created at: March 30, 2026, 6:25 p.m.