Triple
T12332093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliaune Damala Badara Akon Thiam |
E293986
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Aliaune |
E293987
|
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: Aliaune | Statement: [Aliaune Damala Badara Akon Thiam, givenName, Aliaune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aliaune Context triple: [Aliaune Damala Badara Akon Thiam, givenName, Aliaune]
-
A.
Aliaune
chosen
Aliaune is the given first name of the Senegalese-American singer, songwriter, and producer better known by his stage name Akon.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Arleta
Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
-
D.
Alla
Alla is a feminine given name commonly used in Russian and other Slavic cultures.
-
E.
Alijó
Alijó is a municipality in northern Portugal known for its wine production and location within the Douro Valley wine region.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e9114f48190988b84eaec2e810f |
completed | May 2, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:53 p.m.