Triple
T16795799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bumble Boogie |
E408227
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Bumble Boogie |
E408227
|
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: Bumble Boogie | Statement: [Bumble Boogie, title, Bumble Boogie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bumble Boogie Context triple: [Bumble Boogie, title, Bumble Boogie]
-
A.
Bumble Boogie
chosen
Bumble Boogie is a fast-paced, jazz-inspired animated musical sequence from Disney’s 1948 anthology film "Melody Time," featuring a frantic bee set to a boogie-woogie rendition of "Flight of the Bumblebee."
-
B.
Roller Boogie
Roller Boogie is a 1979 disco-era roller-skating musical film known for its campy style and cult following.
-
C.
Boogie
Boogie is a coming-of-age sports drama film centered on a Chinese American basketball phenom navigating cultural expectations and his NBA dreams.
-
D.
Heebie Jeebies
"Heebie Jeebies" is a 1926 jazz recording by Louis Armstrong and his Hot Five, famous for popularizing scat singing in mainstream jazz.
-
E.
Rocket Boogie
"Rocket Boogie" is a classic boogie-woogie piano piece by American pianist Pete Johnson, showcasing his energetic, driving style that helped define the genre.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a96d888190a9876c3784bb7f95 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab109694819094c696904faf0418 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.