Triple
T9016949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kofi Abrefa Busia |
E215616
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kofi |
E156959
|
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: Kofi | Statement: [Kofi Abrefa Busia, givenName, Kofi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kofi Context triple: [Kofi Abrefa Busia, givenName, Kofi]
-
A.
Kofi
chosen
Kofi is a given name most famously associated with Kofi Annan, the Ghanaian diplomat and former Secretary-General of the United Nations.
-
B.
Kofi Mole
Kofi Mole is a Ghanaian hip hop and afrobeat musician known for his energetic style and hit songs like "Don't Be Late."
-
C.
Kofi Kinaata
Kofi Kinaata is a Ghanaian highlife and hiplife musician and songwriter renowned for his witty, proverb-rich lyrics and storytelling style.
-
D.
Kofi Yamgnane
Kofi Yamgnane is a Togolese-born French politician and civil engineer known for his work in local government and his role as a symbol of diversity in French politics.
-
E.
Kofi Adu
Kofi Adu, popularly known as Agya Koo, is a renowned Ghanaian actor and comedian celebrated for his influential roles in Kumawood films.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fd2a888190a20bf18cd226a180 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbabd6108190aa2f3c6f59d7999c |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:06 p.m.