Triple
T8424909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Nubians |
E198956
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Makeda
"Makeda" is a popular neo-soul/R&B song by the French duo Les Nubians, known for its smooth harmonies and Afrocentric themes.
|
E734170
|
NE FINISHED |
How this triple was built (4 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: Makeda | Statement: [Les Nubians, notableWork, Makeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makeda Context triple: [Les Nubians, notableWork, Makeda]
-
A.
Zeleia
Zeleia was an ancient city in the region of Mysia in northwestern Asia Minor, known from classical Greek and Roman historical and geographical sources.
-
B.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
C.
Alodia
Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
-
D.
Karima
Karima is a town in northern Sudan known as a gateway to the ancient Nubian archaeological area around Gebel Barkal and the Napatan sites.
-
E.
Malika
Malika is a feminine given name of Arabic origin commonly used in various Muslim-majority and North African cultures.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Makeda Triple: [Les Nubians, notableWork, Makeda]
Generated description
"Makeda" is a popular neo-soul/R&B song by the French duo Les Nubians, known for its smooth harmonies and Afrocentric themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makeda Target entity description: "Makeda" is a popular neo-soul/R&B song by the French duo Les Nubians, known for its smooth harmonies and Afrocentric themes.
-
A.
Zeleia
Zeleia was an ancient city in the region of Mysia in northwestern Asia Minor, known from classical Greek and Roman historical and geographical sources.
-
B.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
C.
Alodia
Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
-
D.
Karima
Karima is a town in northern Sudan known as a gateway to the ancient Nubian archaeological area around Gebel Barkal and the Napatan sites.
-
E.
Malika
Malika is a feminine given name of Arabic origin commonly used in various Muslim-majority and North African cultures.
- F. None of above. chosen
Provenance (5 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb85a0d04481908a5da908cafeceaa |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d502c448190aabc957786bde79f |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1e3a269481908ea191ff28ea1313 |
completed | April 2, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1ef9fb208190a50b4d8a595f5fdb |
completed | April 2, 2026, 7:47 a.m. |
Created at: March 30, 2026, 6:07 p.m.