Triple

T9073383
Position Surface form Disambiguated ID Type / Status
Subject GEM (Graphics Environment Manager) E217422 entity
Predicate userInterface P1594 FINISHED
Object WIMP
WIMP is a graphical user interface paradigm characterized by the use of windows, icons, menus, and a pointing device to interact with a computer system.
 E776234 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: WIMP | Statement: [GEM (Graphics Environment Manager), userInterface, WIMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WIMP
Context triple: [GEM (Graphics Environment Manager), userInterface, WIMP]
  • A. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • B. DWM
    DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
  • C. WIMK
    WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
  • D. Wiip
    Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
  • E. WND
    WND is the vehicle registration code assigned to the Leoncin area in Poland.
  • 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: WIMP
Triple: [GEM (Graphics Environment Manager), userInterface, WIMP]
Generated description
WIMP is a graphical user interface paradigm characterized by the use of windows, icons, menus, and a pointing device to interact with a computer system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WIMP
Target entity description: WIMP is a graphical user interface paradigm characterized by the use of windows, icons, menus, and a pointing device to interact with a computer system.
  • A. WIMM
    WIMM is the ICAO airport code for Kualanamu International Airport, a major airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • B. DWM
    DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
  • C. WIMK
    WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
  • D. Wiip
    Wiip is an independent television and film production company known for creating high-profile scripted series for major streaming platforms and networks.
  • E. WND
    WND is the vehicle registration code assigned to the Leoncin area in Poland.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc956111dc8190a25cefe68fd6a949 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdf72e74819086f576a4b2532387 completed April 3, 2026, 5:50 p.m.
NEDg Description generation batch_69d000d4a4548190939a9a9946be469b completed April 3, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69d001b245f08190a8e5c53c570b20a0 completed April 3, 2026, 6:06 p.m.
Created at: March 30, 2026, 7:12 p.m.