Triple
T12725405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Owusu Addo |
E304092
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Makye |
E304095
|
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: Makye | Statement: [Michael Owusu Addo, notableWork, Makye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makye Context triple: [Michael Owusu Addo, notableWork, Makye]
-
A.
Makye
chosen
"Makye" is the debut studio album by Ghanaian rapper Sarkodie, widely credited with helping to popularize his career and modern hiplife music.
-
B.
Madekwe
Madekwe is a surname most notably associated with English actor Archie Madekwe, known for his roles in film and television.
-
C.
Makum
Makum is a notable town in Assam, India, recognized historically as a coal-mining and railway hub within the Tinsukia district.
-
D.
Maleka
Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
-
E.
Makus
Makus is an alternative form of the name Maccus, a historical given name of Norse and Gaelic origin.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96415ebe48190ae935bc3a9b00f65 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c85c6b88190bbdd94a43915a7a4 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:25 p.m.