Triple
T20814577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-Ci |
E512402
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | K-Ci & JoJo |
—
|
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: K-Ci & JoJo | Statement: [K-Ci, associatedAct, K-Ci & JoJo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K-Ci & JoJo Context triple: [K-Ci, associatedAct, K-Ci & JoJo]
-
A.
K-Ci & JoJo
chosen
K-Ci & JoJo are an American R&B duo, formed by brothers Cedric "K-Ci" and Joel "JoJo" Hailey, known for soulful ballads like the hit single "All My Life."
-
B.
Jonzun Crew
Jonzun Crew was an influential early-1980s American electro and funk group known for pioneering space-themed, synthesizer-driven dance music.
-
C.
Kaoma
Kaoma was a French-Brazilian band best known for their 1989 worldwide hit dance single "Lambada."
-
D.
Kaoma
Kaoma is a significant town in western Zambia that serves as an important administrative and commercial center for the Barotseland region.
-
E.
Nico & Vinz
Nico & Vinz are a Norwegian musical duo known for their blend of pop, reggae, and Afrobeat, particularly their international hit single "Am I Wrong."
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d4e43c8190aecce82a3f7e2de0 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:41 p.m.