Triple
T18027454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweatsuit |
E431295
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ryan Bowser |
—
|
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: Ryan Bowser | Statement: [Sweatsuit, producer, Ryan Bowser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Bowser Context triple: [Sweatsuit, producer, Ryan Bowser]
-
A.
Ryan Bowser
chosen
Ryan Bowser is an American music producer best known for his work in R&B and hip-hop, including crafting hits for artists like Nelly and Kelly Rowland.
-
B.
Bowser Jr.
Bowser Jr. is a recurring antagonist in the Super Mario series, known as Bowser’s mischievous son who frequently schemes against Mario and his allies.
-
C.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
-
D.
Mulch Diggums
Mulch Diggums is a flatulent, kleptomaniac dwarf and expert tunnel thief from Eoin Colfer’s Artemis Fowl series, known for his crude humor and reluctant heroism.
-
E.
Wendy O. Koopa
Wendy O. Koopa is one of Bowser’s Koopalings in the Super Mario series, known for her pink, bow-wearing appearance and ring-based attacks.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c7be308190af0d77c0df6d94ce |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:25 a.m.