Triple

T14394534
Position Surface form Disambiguated ID Type / Status
Subject WebStorm E356921 entity
Predicate supportsTechnology P5090 FINISHED
Object Prettier
Prettier is an opinionated code formatter that automatically enforces consistent style across various programming languages and file types.
 E1096562 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: Prettier | Statement: [WebStorm, supportsTechnology, Prettier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prettier
Context triple: [WebStorm, supportsTechnology, Prettier]
  • A. Clang-Format
    Clang-Format is an automated code formatting tool, part of the Clang/LLVM project, that enforces consistent style for languages like C, C++, and Objective-C.
  • B. ESLint
    ESLint is a widely used open-source JavaScript linter that analyzes code to find and fix problems, enforce style rules, and maintain code quality.
  • C. PostCSS
    PostCSS is a JavaScript-based tool for transforming CSS with plugins, enabling features like future CSS syntax, linting, and optimization in modern web development workflows.
  • D. Pottier
    Pottier is a French surname most notably borne by Eugène Pottier, the revolutionary poet and lyricist of "The Internationale."
  • E. PEP 8
    PEP 8 is the official Python style guide that defines conventions for writing readable, consistent Python code.
  • 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: Prettier
Triple: [WebStorm, supportsTechnology, Prettier]
Generated description
Prettier is an opinionated code formatter that automatically enforces consistent style across various programming languages and file types.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prettier
Target entity description: Prettier is an opinionated code formatter that automatically enforces consistent style across various programming languages and file types.
  • A. Clang-Format
    Clang-Format is an automated code formatting tool, part of the Clang/LLVM project, that enforces consistent style for languages like C, C++, and Objective-C.
  • B. ESLint
    ESLint is a widely used open-source JavaScript linter that analyzes code to find and fix problems, enforce style rules, and maintain code quality.
  • C. PostCSS
    PostCSS is a JavaScript-based tool for transforming CSS with plugins, enabling features like future CSS syntax, linting, and optimization in modern web development workflows.
  • D. Pottier
    Pottier is a French surname most notably borne by Eugène Pottier, the revolutionary poet and lyricist of "The Internationale."
  • E. PEP 8
    PEP 8 is the official Python style guide that defines conventions for writing readable, consistent Python code.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd55d90ed08190b6a0184715f39ff4 completed May 8, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd565d32fc8190acc1e733537a23cb completed May 8, 2026, 3:19 a.m.
Created at: April 10, 2026, 1:16 a.m.