Triple
T12481080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Eazi |
E298304
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Efya |
E304112
|
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: Efya | Statement: [Don Eazi, collaboratedWith, Efya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Efya Context triple: [Don Eazi, collaboratedWith, Efya]
-
A.
Efya
chosen
Efya is a Ghanaian singer and songwriter known for her soulful vocals and prominent role in the contemporary Afro-soul and R&B music scene.
-
B.
Melek
Melek is a given name and variant of Malek, used in various cultures and languages.
-
C.
Leyla
"Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
-
D.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
E.
Ayse
Ayse is a small commune in the Haute-Savoie department of southeastern France, situated within the Arrondissement of Bonneville.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcdcd3c81908ad29145db241408 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f29307c8190b024d889d45ba9f7 |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.