Triple
T12332538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama Africa |
E293997
|
entity |
| Predicate | hasSongwriter |
P1360
|
FINISHED |
| Object | Aliaune Thiam |
E731805
|
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 Thiam | Statement: [Mama Africa, hasSongwriter, Aliaune Thiam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aliaune Thiam Context triple: [Mama Africa, hasSongwriter, Aliaune Thiam]
-
A.
Aliaune Thiam
chosen
Aliaune Thiam, better known as Akon, is a Senegalese-American singer, songwriter, and producer renowned for his global hip-hop and R&B hits and numerous high-profile collaborations.
-
B.
Yaya Sanogo
Yaya Sanogo is a French professional footballer, best known as a former Arsenal striker and France youth international.
-
C.
Satou Sabally
Satou Sabally is a German professional basketball player and WNBA All-Star known for her versatility and scoring ability.
-
D.
Sainey Sidibeh
Sainey Sidibeh is a music producer best known for his work on Wizkid’s acclaimed Afrobeats album "Made in Lagos."
-
E.
Assane Diop
Assane Diop is the charismatic, gentleman-thief protagonist of the French series "Lupin," known for using wit, disguise, and inspiration from Arsène Lupin to outsmart his enemies.
- 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_69f62aa12f108190851c6958eb35ee5b |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.