Triple
T23062007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandrine Kiberlain |
E574929
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sandrine |
—
|
NE NERFINISHED |
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: Sandrine | Statement: [Sandrine Kiberlain, givenName, Sandrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandrine Context triple: [Sandrine Kiberlain, givenName, Sandrine]
-
A.
Sandrine
chosen
Sandrine is a feminine given name of French origin, commonly used in French-speaking and international contexts.
-
B.
Aurélie
Aurélie is a French given name, typically feminine, derived from the Latin "Aurelius" and associated with meanings related to "golden" or "gilded."
-
C.
Léa
Léa is a French feminine given name commonly used in Francophone countries.
-
D.
Sandrine Peyrard
Sandrine Peyrard is a professional editor known for her work in refining and overseeing written content.
-
E.
Nathalie
Nathalie is a feminine given name of French origin commonly used in many European and French-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a0c3c881909f137ad511c216ac |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.