Triple
T13011413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brakni |
E322420
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Rachida Brakni |
E60431
|
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: Rachida Brakni | Statement: [Brakni, hasNotableBearer, Rachida Brakni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachida Brakni Context triple: [Brakni, hasNotableBearer, Rachida Brakni]
-
A.
Rachida Brakni
chosen
Rachida Brakni is a French actress and former member of the Comédie-Française, known for her acclaimed work in film, television, and theater.
-
B.
Lalla Latifa Hammou
Lalla Latifa Hammou is the widow of King Hassan II of Morocco and the mother of King Mohammed VI and several other Moroccan royals.
-
C.
Lalla Fatima bint Qaid Amhouroch
Lalla Fatima bint Qaid Amhouroch was a Moroccan royal consort and member of the Alaouite dynasty, known primarily as one of the wives of King Mohammed V of Morocco.
-
D.
Rachida
Rachida is a feminine given name of Arabic origin, notably borne by French politician Rachida Dati.
-
E.
Lalla Khedidja
Lalla Khedidja is a prominent mountain peak in northern Algeria, known for its scenic views and significance within the Atlas Mountain range.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9e14b88190a2cee8e0c9bf31c8 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c5155c8190b2c4e5bbcdaadc47 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 8:49 p.m.