Triple

T4278941
Position Surface form Disambiguated ID Type / Status
Subject Michael Widenius E97105 entity
Predicate alsoKnownAs P39 FINISHED
Object Monty Widenius E97105 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: Monty Widenius | Statement: [Michael Widenius, alsoKnownAs, Monty Widenius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monty Widenius
Context triple: [Michael Widenius, alsoKnownAs, 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. 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.
  • C. 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.
  • D. 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.
  • E. Hector Garcia-Molina
    Hector Garcia-Molina was a prominent computer scientist known for his influential work in database systems and distributed computing, and for his leadership in both academia and industry.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350201ac88190b9d8980da5f0d03d completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7237b608190ab5aca56027344c4 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:07 p.m.