Triple
T11487128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cécile Fatiman |
E272308
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Cécile Fatiman |
E272308
|
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: Cécile Fatiman | Statement: [Cécile Fatiman, knownAs, Cécile Fatiman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cécile Fatiman Context triple: [Cécile Fatiman, knownAs, Cécile Fatiman]
-
A.
Cécile Fatiman
chosen
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.
-
B.
Samia Chancrin
Samia Chancrin is an actress known for her role in the German crime thriller film "In the Fade."
-
C.
Eudoxie Mbouguiengue
Eudoxie Mbouguiengue is a Gabonese-born model and philanthropist known for her advocacy work supporting women and as the wife of rapper and actor Ludacris (Christopher Brian Bridges).
-
D.
Rachida
Rachida is a feminine given name of Arabic origin, notably borne by French politician Rachida Dati.
-
E.
Latifa Ouaou
Latifa Ouaou is a film producer best known for her work on animated features such as DreamWorks' "Puss in Boots."
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1fc9688190aacc2eed64229b79 |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624b12c04819085cc5f7dd64283ca |
completed | April 20, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:36 p.m.