Triple
T12990413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemi Eberechi Alade |
E321886
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shekere |
E321893
|
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: Shekere | Statement: [Yemi Eberechi Alade, notableWork, Shekere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shekere Context triple: [Yemi Eberechi Alade, notableWork, Shekere]
-
A.
Shekere
chosen
"Shekere" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its vibrant fusion of African rhythms and contemporary dance music.
-
B.
Shakara
Shakara is a classic Afrobeat song and album by Nigerian musician Fela Kuti, known for its hypnotic grooves, sharp social commentary, and pioneering fusion of jazz, funk, and African rhythms.
-
C.
Nini
Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
-
D.
Nini
Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
-
E.
Mulaney
Mulaney is a short-lived semi-autobiographical sitcom created by and starring comedian John Mulaney.
- 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.