Triple
T14692281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatou |
E345062
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Fatou Ndiaye
Fatou Ndiaye is a French-Senegalese actress and model known for her roles in Francophone cinema and television.
|
E1114955
|
NE FINISHED |
How this triple was built (4 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 Ndiaye | Statement: [Fatou, hasNotableBearer, Fatou Ndiaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatou Ndiaye Context triple: [Fatou, hasNotableBearer, Fatou Ndiaye]
-
A.
Karidja Touré
Karidja Touré is a French actress best known for her breakout role in the film "Girlhood" ("Bande de filles"), which earned her major critical acclaim and industry recognition.
-
B.
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.
-
C.
Fatou Diome
Fatou Diome is a Senegalese-French author best known for her novels and essays exploring migration, identity, and postcolonial relations between Africa and Europe.
-
D.
Diaryatou Daff
Diaryatou Daff is an actress known for her role in the critically acclaimed Spanish-language film "Biutiful."
-
E.
Antoinette Nana Djimou
Antoinette Nana Djimou is a French heptathlete and former European champion known for her success in combined events.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fatou Ndiaye Triple: [Fatou, hasNotableBearer, Fatou Ndiaye]
Generated description
Fatou Ndiaye is a French-Senegalese actress and model known for her roles in Francophone cinema and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fatou Ndiaye Target entity description: Fatou Ndiaye is a French-Senegalese actress and model known for her roles in Francophone cinema and television.
-
A.
Karidja Touré
Karidja Touré is a French actress best known for her breakout role in the film "Girlhood" ("Bande de filles"), which earned her major critical acclaim and industry recognition.
-
B.
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.
-
C.
Fatou Diome
Fatou Diome is a Senegalese-French author best known for her novels and essays exploring migration, identity, and postcolonial relations between Africa and Europe.
-
D.
Diaryatou Daff
Diaryatou Daff is an actress known for her role in the critically acclaimed Spanish-language film "Biutiful."
-
E.
Antoinette Nana Djimou
Antoinette Nana Djimou is a French heptathlete and former European champion known for her success in combined events.
- F. None of above. chosen
Provenance (5 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_69fdf08274ac8190b5ba0752d36a690b |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf21ff584819098d5bc66fd667edf |
completed | May 8, 2026, 2:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf2980d188190a81474df8097aab7 |
completed | May 8, 2026, 2:26 p.m. |
Created at: April 10, 2026, 1:28 a.m.