Triple
T17317164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheikh Anta Diop |
E420456
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Diop |
E543886
|
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: Diop | Statement: [Cheikh Anta Diop, familyName, Diop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diop Context triple: [Cheikh Anta Diop, familyName, Diop]
-
A.
Diop
chosen
Diop is a common West African surname of Wolof origin, notably borne by various Senegalese scholars, artists, and public figures.
-
B.
Goudiaby
Goudiaby is a Senegalese family name notably borne by architect and public figure Pierre Goudiaby Atepa.
-
C.
Soussou
The Soussou are a West African ethnic group primarily inhabiting coastal and western Guinea, known for their Susu language and significant role in the region’s trade and Islamic cultural history.
-
D.
Idrissa
Idrissa is the given first name of British actor, producer, and musician Idris Elba.
-
E.
Adama
Adama is a major Ethiopian city in the Oromia Region, known as an important commercial and transportation hub southeast of Addis Ababa.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399ea7dc8190a0ecab7534fe16c3 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e8cfd88190a105b778e5b9e864 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.