Triple

T8682196
Position Surface form Disambiguated ID Type / Status
Subject IceWM E206062 entity
Predicate hasComponent P35 FINISHED
Object icewmbg
icewmbg is a background-setting utility for the IceWM window manager that handles drawing and managing desktop wallpapers.
E751208 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: icewmbg | Statement: [IceWM, hasComponent, icewmbg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: icewmbg
Context triple: [IceWM, hasComponent, icewmbg]
  • A. ICE
    ICE is a high-speed international train service operated by Deutsche Bahn that connects major cities across Germany and neighboring countries, including routes through Brussels.
  • B. ICE
    ICE is a U.S. federal agency under the Department of Homeland Security responsible for enforcing immigration laws and investigating customs, border, and national security-related offenses.
  • C. ICE
    ICE is the stock ticker symbol for Intercontinental Exchange, a major global operator of financial exchanges and clearing houses.
  • D. ICE
    ICE is Emirates’ award-winning in-flight entertainment system offering a wide range of movies, TV, music, and information services to passengers.
  • E. ICE
    ICE (Interactive Connectivity Establishment) is a framework used in real-time communication systems to discover and negotiate network paths for peer-to-peer connections across NATs and firewalls.
  • 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: icewmbg
Triple: [IceWM, hasComponent, icewmbg]
Generated description
icewmbg is a background-setting utility for the IceWM window manager that handles drawing and managing desktop wallpapers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: icewmbg
Target entity description: icewmbg is a background-setting utility for the IceWM window manager that handles drawing and managing desktop wallpapers.
  • A. ICE
    ICE is a U.S. federal agency under the Department of Homeland Security responsible for enforcing immigration laws and investigating customs, border, and national security-related offenses.
  • B. ICE
    ICE is the stock ticker symbol for Intercontinental Exchange, a major global operator of financial exchanges and clearing houses.
  • C. ICE
    ICE is a high-speed international train service operated by Deutsche Bahn that connects major cities across Germany and neighboring countries, including routes through Brussels.
  • D. ICE
    ICE is Emirates’ award-winning in-flight entertainment system offering a wide range of movies, TV, music, and information services to passengers.
  • E. ICE
    ICE is a leading professional association and learned society that supports and regulates civil engineers, primarily in the United Kingdom but with a global membership.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae82e508190b0243328e98fcb1d completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
Created at: March 30, 2026, 6:32 p.m.