Triple

T18080076
Position Surface form Disambiguated ID Type / Status
Subject Michael Widenius E432663 entity
Predicate child P120 FINISHED
Object Maria 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: Maria Widenius | Statement: [Michael Widenius, child, Maria Widenius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Widenius
Context triple: [Michael Widenius, child, Maria Widenius]
  • A. Maria Widenius chosen
    Maria Widenius is known primarily as the daughter of Finnish software developer Michael "Monty" Widenius, the original creator of the MySQL database.
  • B. Michael Widenius
    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.
  • 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. Donald D. Chamberlin
    Donald D. Chamberlin is an American computer scientist best known as a co-designer of the SQL database query language and a principal architect of IBM's pioneering System R relational database project.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f81ff08190b7465e3c5568aa59 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.