Triple
T12248257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Carnival |
E291905
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Bubblegoose |
E971054
|
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: Bubblegoose | Statement: [The Carnival, hasSingle, Bubblegoose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bubblegoose Context triple: [The Carnival, hasSingle, Bubblegoose]
-
A.
Bubblegoose
chosen
"Bubblegoose" is a track from rapper and producer The Carnival, known for its playful energy and distinctive, imaginative style.
-
B.
Boontling
Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
-
C.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
-
D.
Gooigi
Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
-
E.
Gogo Dodo
Gogo Dodo is a zany, surreal cartoon character from the Tiny Toon Adventures series, known for his reality-bending antics and residence in the bizarre world of Wackyland.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc50d808190a3c8d1ada31a6a91 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e620ed88190b46d256ebe994714 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.