Triple

T1693228
Position Surface form Disambiguated ID Type / Status
Subject Windows Vista E36595 entity
Predicate edition P4629 FINISHED
Object Home Basic
Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
E192049 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: Home Basic | Statement: [Windows Vista, edition, Home Basic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Basic
Context triple: [Windows Vista, edition, Home Basic]
  • A. Basic
    Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
  • B. BASIC
    BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
  • C. Perus
    Perus is the commonly used Finnish abbreviation for the Finns Party, a right-wing populist and nationalist political party in Finland.
  • D. Foundation
    Foundation is a landmark science fiction novel by Isaac Asimov that launched his influential series about the rise and fall of a galactic empire and the science of psychohistory.
  • E. Base
    Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
  • 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: Home Basic
Triple: [Windows Vista, edition, Home Basic]
Generated description
Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Home Basic
Target entity description: Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
  • A. Basic
    Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
  • B. BASIC
    BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
  • C. Perus
    Perus is the commonly used Finnish abbreviation for the Finns Party, a right-wing populist and nationalist political party in Finland.
  • D. Foundation
    Foundation is a landmark science fiction novel by Isaac Asimov that launched his influential series about the rise and fall of a galactic empire and the science of psychohistory.
  • E. Base
    Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b228988190a7d19003ddf10ce5 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7996a39481909152a6a799659c93 completed March 8, 2026, 1:28 p.m.
NEDg Description generation batch_69ad7bd602e4819093768853da8f506c completed March 8, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69ad8200103c81908e0b3d134b291409 completed March 8, 2026, 2:04 p.m.
Created at: March 4, 2026, 7:29 p.m.