Triple
T20752359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anastasia |
E510756
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Anastasie |
—
|
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: Anastasie | Statement: [Anastasia, hasVariant, Anastasie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anastasie Context triple: [Anastasia, hasVariant, Anastasie]
-
A.
Anastasie
chosen
Anastasie is the given name of Anastasie de Lafayette, a French noblewoman associated with the influential Lafayette family.
-
B.
Anastassia
Anastassia is a feminine given name, typically considered a spelling variant of Anastasia used in various European and international contexts.
-
C.
Anastazy
Anastazy is a masculine given name of Polish origin, historically borne by several notable figures including nobles and clergy.
-
D.
Arienette
"Arienette" is a song by Bright Eyes, known for its introspective lyrics and emotionally raw indie folk sound.
-
E.
Amandine
Amandine is a feminine given name, primarily used in French-speaking contexts, that is closely related to and derived from the name Amanda.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22be6588190b137193cb3184fc0 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.