Triple
T12990416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemi Eberechi Alade |
E321886
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bum Bum |
E321895
|
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: Bum Bum | Statement: [Yemi Eberechi Alade, notableWork, Bum Bum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bum Bum Context triple: [Yemi Eberechi Alade, notableWork, Bum Bum]
-
A.
Bum Bum
chosen
"Bum Bum" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its danceable rhythm and energetic, party-themed vibe.
-
B.
Boom-Boom
Boom-Boom is a Marvel Comics mutant superhero known for generating explosive energy "time-bombs" and serving on teams like the New Mutants and X-Force.
-
C.
Bye-Yum Pum Pum
"Bye-Yum Pum Pum" is a musical number from the 1967 Disney film *The Happiest Millionaire*, known for its whimsical, old-fashioned show-tune style.
-
D.
Bum
Bum is the nickname of Bum Phillips, the colorful and beloved former NFL head coach best known for leading the Houston Oilers in the 1970s.
-
E.
Bummi
Bummi is a fictional female character who serves as the central protagonist in her story.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:43 p.m.