Triple
T7790780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamil Myśliwiec |
E187371
|
entity |
| Predicate | githubUsername |
P3930
|
FINISHED |
| Object | kamilmysliwiec |
E187371
|
NE FINISHED |
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: kamilmysliwiec | Statement: [Kamil Myśliwiec, githubUsername, kamilmysliwiec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: kamilmysliwiec Context triple: [Kamil Myśliwiec, githubUsername, kamilmysliwiec]
-
A.
Kamil Myśliwiec
chosen
Kamil Myśliwiec is a Polish software engineer and entrepreneur best known as the founder and lead maintainer of the NestJS framework for building scalable server-side applications in Node.js.
-
B.
Kowalczyk
Kowalczyk is a common Polish surname, typically a diminutive or variant of Kowal/Kowalski, historically associated with the occupation of a blacksmith.
-
C.
Krzysztof
Krzysztof is a Polish given name, equivalent to Christopher, commonly used in Poland and among Polish-speaking communities.
-
D.
Żymierski
Żymierski is a Polish surname most notably associated with Michał Rola-Żymierski, a high-ranking military commander and communist-era Marshal of Poland.
-
E.
Sławomir
Sławomir is a Polish masculine given name commonly borne by notable figures in fields such as film, music, and sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7eac1988190aa65a987644db15c |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf631988481908373498aaf1ea0e8 |
completed | March 30, 2026, 10:16 p.m. |
Created at: March 30, 2026, 4:25 p.m.