Triple
T14692282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatou |
E345062
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Fatou (singer) |
E345062
|
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: Fatou (singer) | Statement: [Fatou, hasNotableBearer, Fatou (singer)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatou (singer) Context triple: [Fatou, hasNotableBearer, Fatou (singer)]
-
A.
Fatou
chosen
Fatou is a feminine given name commonly used in West Africa, particularly among speakers of Wolof and other Senegalese languages.
-
B.
Naïma Hébrail Kidjo
Naïma Hébrail Kidjo is the daughter of renowned Beninese-French singer and activist Angélique Kidjo.
-
C.
Cécile Fatiman
Cécile Fatiman was a Haitian Vodou priestess and revolutionary figure traditionally credited with helping to spark the Haitian Revolution through her role in the Bois Caïman ceremony.
-
D.
Diaryatou Daff
Diaryatou Daff is an actress known for her role in the critically acclaimed Spanish-language film "Biutiful."
-
E.
Aïssa Maïga
Aïssa Maïga is a French-Senegalese actress and filmmaker known for her roles in international cinema and her advocacy for greater diversity and representation in the film industry.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde18b4bdc8190b5daf05484de7cd8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.