Triple
T14692300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatou Bensouda |
E345063
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Bensouda |
E345063
|
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: Bensouda | Statement: [Fatou Bensouda, hasSurname, Bensouda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bensouda Context triple: [Fatou Bensouda, hasSurname, Bensouda]
-
A.
Bensouda
chosen
Bensouda is a surname most prominently associated with Fatou Bensouda, the Gambian lawyer who served as Chief Prosecutor of the International Criminal Court.
-
B.
Rachida
Rachida is a feminine given name of Arabic origin, notably borne by French politician Rachida Dati.
-
C.
Nafoua
Nafoua is a small settlement located on the remote Polynesian outlier island of Sikaiana in the Solomon Islands.
-
D.
Hamma Bouziane
Hamma Bouziane is a town and commune located in Constantine Province in northeastern Algeria.
-
E.
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.
- 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.