Triple
T17568057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Gallant |
E427867
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | ripgrep |
—
|
NE NERFINISHED |
How this triple was built (2 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: ripgrep | Statement: [Andrew Gallant, notableWork, ripgrep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ripgrep Context triple: [Andrew Gallant, notableWork, ripgrep]
-
A.
ripgrep
chosen
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.
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.
-
C.
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.
-
D.
grep-searcher crate (Rust)
The grep-searcher crate is a Rust library that provides fast, flexible search functionality over text data, forming a core component of tools like ripgrep.
-
E.
egrep
egrep is a variant of the grep command-line utility that searches text using extended regular expressions for more powerful pattern matching.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 5:50 a.m.