Triple
T18080080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Widenius |
E432663
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Monty |
—
|
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 | Statement: [Michael Widenius, nickname, Monty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monty Context triple: [Michael Widenius, nickname, Monty]
-
A.
Monty
Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
-
B.
Monty
Monty is the costumed biscuit-themed mascot of the Montgomery Biscuits Minor League Baseball team.
-
C.
Monty Oxymoron
Monty Oxymoron is a British keyboardist best known for his long-standing role in the influential punk rock band The Damned.
-
D.
Monty Mole
Monty Mole is a recurring burrowing mole enemy in the Super Mario video game series, known for popping out of the ground to surprise and attack players.
-
E.
Monty Says
chosen
Monty Says is the personal blog of Michael "Monty" Widenius, the original creator of the MySQL database system, where he shares insights on open-source databases and related technologies.
- 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.