Triple
T16607012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdoulaye Wade |
E403470
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Abdoulaye |
E1184069
|
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: Abdoulaye | Statement: [Abdoulaye Wade, givenName, Abdoulaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abdoulaye Context triple: [Abdoulaye Wade, givenName, Abdoulaye]
-
A.
Abdoulaye
chosen
Abdoulaye is the given first name of French-Malian rapper and lyricist Oxmo Puccino.
-
B.
Beledugu Bambara
Beledugu Bambara is a regional variety of the Bambara language spoken in the Beledugu area of Mali, characterized by its own distinctive phonological and lexical features.
-
C.
Ibrahim Aboubacar
Ibrahim Aboubacar is a French politician best known for founding the centrist political party Union des Démocrates et Indépendants (UDI).
-
D.
Khadimou Rassoul Cheikh Fall
Khadimou Rassoul Cheikh Fall, better known as Sheck Wes, is an American rapper, singer, and model best known for his breakout hit single "Mo Bamba."
-
E.
Cheikh Ndiaye
Cheikh Ndiaye is an actor known for his role in the critically acclaimed Spanish-language drama film "Biutiful."
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36091de048190b40aa42b1a0681cc |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a8a6248190a9e2bb469d821c66 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.