Triple
T21789320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornélie |
E537925
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Cornélie (given name) |
—
|
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: Cornélie (given name) | Statement: [Cornélie, namedAfter, Cornélie (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornélie (given name) Context triple: [Cornélie, namedAfter, Cornélie (given name)]
-
A.
Cornélie
chosen
Cornélie was a French Navy frigate that took part in the Battle of San Domingo during the Napoleonic Wars.
-
B.
Honorine
Honorine is a feminine given name of French origin, used both as a standalone first name and as part of compound names.
-
C.
Charlène
Charlène is a French feminine given name, typically considered a variant of Charlene or a diminutive of Charlotte.
-
D.
Clémence
Clémence is the given name of Jeanne Clémence Weil, best known as the mother of French writer Marcel Proust.
-
E.
Corné
Corné is a former commune in western France’s Maine-et-Loire department that was incorporated into the new municipality of Loire-Authion.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621ed2b481909e3df17aee9cd8f7 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:52 p.m.