Triple
T17598756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MySQL AB |
E428638
|
entity |
| Predicate | notableEmployee |
P304
|
FINISHED |
| Object | Monty Widenius |
—
|
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: Monty Widenius | Statement: [MySQL AB, notableEmployee, Monty Widenius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monty Widenius Context triple: [MySQL AB, notableEmployee, Monty Widenius]
-
A.
Michael Widenius
chosen
Michael Widenius is a Finnish software engineer and entrepreneur best known as the original developer of the MySQL relational database and later the founder of MariaDB.
-
B.
Maria Widenius
Maria Widenius is known primarily as the daughter of Finnish software developer Michael "Monty" Widenius, the original creator of the MySQL database.
-
C.
David Axmark
David Axmark is a Swedish software developer best known as one of the original co-founders and developers of the MySQL relational database management system.
-
D.
Michael Stonebraker
Michael Stonebraker is an influential American computer scientist and database pioneer known for creating several landmark database systems and shaping modern data management.
-
E.
Jim Gray
Jim Gray was a pioneering computer scientist renowned for his foundational work in database systems and transaction processing, which earned him numerous top honors in the field.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c474e5481909d2736241b592dab |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.