Triple

T1690437
Position Surface form Disambiguated ID Type / Status
Subject Windows XP E36537 entity
Predicate codename P2980 FINISHED
Object Whistler
Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
 E197063 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: Whistler | Statement: [Windows XP, codename, Whistler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whistler
Context triple: [Windows XP, codename, Whistler]
  • A. Banff
    Banff is a historic town in Aberdeenshire, Scotland, known for its coastal setting on the Moray Firth and its well-preserved Georgian architecture.
  • B. Squamish
    Squamish is a town in southwestern British Columbia, Canada, known for its dramatic coastal mountain scenery and outdoor recreation opportunities.
  • C. Yekonyah
    Yekonyah is an alternative name for Jehoiachin, the exiled king of Judah mentioned in the Hebrew Bible.
  • D. Sun Valley
    Sun Valley is the internal codename Microsoft used for the major user interface redesign that debuted with Windows 11.
  • E. Selkirk
    Selkirk is a historic town in the Scottish Borders known for its legal heritage, including past judicial functions and associations with Scotland’s justice system.
  • 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: Whistler
Triple: [Windows XP, codename, Whistler]
Generated description
Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Whistler
Target entity description: Whistler was the internal codename used by Microsoft during the development of the Windows XP operating system.
  • A. Banff
    Banff is a historic town in Aberdeenshire, Scotland, known for its coastal setting on the Moray Firth and its well-preserved Georgian architecture.
  • B. Squamish
    Squamish is a town in southwestern British Columbia, Canada, known for its dramatic coastal mountain scenery and outdoor recreation opportunities.
  • C. Yekonyah
    Yekonyah is an alternative name for Jehoiachin, the exiled king of Judah mentioned in the Hebrew Bible.
  • D. Sun Valley
    Sun Valley is the internal codename Microsoft used for the major user interface redesign that debuted with Windows 11.
  • E. Selkirk
    Selkirk is a historic town in the Scottish Borders known for its legal heritage, including past judicial functions and associations with Scotland’s justice system.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62979da48190a64a04bf352182e0 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0cb18348190baf7a30c231c7349 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada28b008c8190a46570a9f5f9f7a3 completed March 8, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69ada4dfc9188190845a4e4490318d68 completed March 8, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:29 p.m.