Triple
T13723921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Here Comes the Hotstepper |
E329105
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Ini Kamoze |
E329105
|
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: Ini Kamoze | Statement: [Here Comes the Hotstepper, performer, Ini Kamoze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ini Kamoze Context triple: [Here Comes the Hotstepper, performer, Ini Kamoze]
-
A.
Ini Kamoze
chosen
Ini Kamoze is a Jamaican reggae and dancehall singer best known internationally for his 1994 hit single "Here Comes the Hotstepper."
-
B.
Mambo
Mambo is an open-source content management system that was widely used in the early 2000s for building dynamic websites and later served as the codebase origin for Joomla!.
-
C.
Mambo
Mambo was the royal title used for the supreme ruler of the Rozvi Empire in what is now Zimbabwe.
-
D.
Kingmambo
Kingmambo was a champion Thoroughbred racehorse and highly influential sire known for producing numerous top-class runners worldwide.
-
E.
Mishanya
Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84a2ed481909005720b0531e585 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.