Triple
T23397266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Hélène Béatrice of France |
E559393
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Béatrice |
—
|
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: Béatrice | Statement: [Sophie Hélène Béatrice of France, givenName, Béatrice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béatrice Context triple: [Sophie Hélène Béatrice of France, givenName, Béatrice]
-
A.
Béatrice
chosen
Béatrice is a French royal given name borne by Sophie Hélène Béatrice of France, a princess of the Bourbon dynasty.
-
B.
Edmée
Edmée is a feminine given name of French origin, often considered a variant of Edmé and historically associated with French-speaking regions.
-
C.
Gisèle
Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
D.
Rosine Blanc
Rosine Blanc was the wife of French scholar Jean-François Champollion, the linguist who deciphered Egyptian hieroglyphs.
-
E.
Rosina
Rosina is a feminine given name of Latin origin, commonly used in various European cultures as a diminutive of Rosa.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dd05cc81908c1e91974ffccf21 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.