Triple
T4275196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ripgrep |
E97033
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
BurntSushi
BurntSushi is the online alias of Andrew Gallant, a software developer best known for creating the fast search tool ripgrep and contributing extensively to the Rust ecosystem.
|
E427868
|
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: BurntSushi | Statement: [ripgrep, developer, BurntSushi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BurntSushi Context triple: [ripgrep, developer, BurntSushi]
-
A.
Masataka
Masataka is a Japanese given name commonly used for males.
-
B.
Matz
Matz is the nickname of Yukihiro Matsumoto, the Japanese software engineer best known as the creator of the Ruby programming language.
-
C.
Katsuya
Katsuya is a Japanese given name commonly used for males.
-
D.
Kazuo
Kazuo is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and sports.
-
E.
Ōta Dōkan
Ōta Dōkan was a 15th-century Japanese samurai, military strategist, and monk best known for building Edo Castle, which later became the political center of Japan as Tokyo.
- 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: BurntSushi Triple: [ripgrep, developer, BurntSushi]
Generated description
BurntSushi is the online alias of Andrew Gallant, a software developer best known for creating the fast search tool ripgrep and contributing extensively to the Rust ecosystem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BurntSushi Target entity description: BurntSushi is the online alias of Andrew Gallant, a software developer best known for creating the fast search tool ripgrep and contributing extensively to the Rust ecosystem.
-
A.
Masataka
Masataka is a Japanese given name commonly used for males.
-
B.
Matz
Matz is the nickname of Yukihiro Matsumoto, the Japanese software engineer best known as the creator of the Ruby programming language.
-
C.
Katsuya
Katsuya is a Japanese given name commonly used for males.
-
D.
Kazuo
Kazuo is a Japanese given name commonly used for males and borne by various notable figures in business, arts, and sports.
-
E.
Ōta Dōkan
Ōta Dōkan was a 15th-century Japanese samurai, military strategist, and monk best known for building Edo Castle, which later became the political center of Japan as Tokyo.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501c35688190a7d15d904f15f968 |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7b0b2ec819090ccf042917ae207 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5b8ac37c88190ad2c6a8358e17554 |
completed | March 14, 2026, 7:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b92eec8c81908c114238af39450f |
completed | March 14, 2026, 7:38 p.m. |
Created at: March 12, 2026, 11:07 p.m.