Triple

T17568197
Position Surface form Disambiguated ID Type / Status
Subject ack E427870 entity
Predicate alsoKnownAs P39 FINISHED
Object ack-grep
ack-grep is a command-line search tool optimized for programmers, designed to quickly search source code with smart defaults and language-aware filtering.
 E1277129 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: ack-grep | Statement: [ack, alsoKnownAs, ack-grep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ack-grep
Context triple: [ack, alsoKnownAs, ack-grep]
  • A. ripgrep
    ripgrep is a fast, command-line search tool written in Rust that recursively searches directories using regular expressions and is widely used as a modern alternative to grep.
  • B. GNU Grep
    GNU Grep is the GNU Project’s free, open-source implementation of the grep command-line utility used for fast text searching and pattern matching in files.
  • C. The Silver Searcher
    The Silver Searcher is a fast, command-line code-search tool (often invoked as `ag`) known for its speed and simplicity in searching large codebases.
  • D. egrep
    egrep is a variant of the grep command-line utility that searches text using extended regular expressions for more powerful pattern matching.
  • E. KFind
    KFind is a file search utility for the KDE desktop environment that provides advanced options for locating files based on name, content, and attributes.
  • 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: ack-grep
Triple: [ack, alsoKnownAs, ack-grep]
Generated description
ack-grep is a command-line search tool optimized for programmers, designed to quickly search source code with smart defaults and language-aware filtering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ack-grep
Target entity description: ack-grep is a command-line search tool optimized for programmers, designed to quickly search source code with smart defaults and language-aware filtering.
  • A. ripgrep
    ripgrep is a fast, command-line search tool written in Rust that recursively searches directories using regular expressions and is widely used as a modern alternative to grep.
  • B. GNU Grep
    GNU Grep is the GNU Project’s free, open-source implementation of the grep command-line utility used for fast text searching and pattern matching in files.
  • C. The Silver Searcher
    The Silver Searcher is a fast, command-line code-search tool (often invoked as `ag`) known for its speed and simplicity in searching large codebases.
  • D. egrep
    egrep is a variant of the grep command-line utility that searches text using extended regular expressions for more powerful pattern matching.
  • E. KFind
    KFind is a file search utility for the KDE desktop environment that provides advanced options for locating files based on name, content, and attributes.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592e56e481909249b831cecc31d5 completed April 19, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01dde400508190ab91b0ccfbffa726 completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01dfef61fc8190810d31c91195c205 completed May 11, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a01e0a5f2188190b4a8604d197c6ac8 completed May 11, 2026, 1:59 p.m.
Created at: April 10, 2026, 5:50 a.m.