Triple
T7470941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marina Nikolayevna Prusakova |
E176501
|
entity |
| Predicate | patronymicName |
P7966
|
FINISHED |
| Object | Nikolayevna |
E158235
|
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: Nikolayevna | Statement: [Marina Nikolayevna Prusakova, patronymicName, Nikolayevna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikolayevna Context triple: [Marina Nikolayevna Prusakova, patronymicName, Nikolayevna]
-
A.
Nikolaevna
chosen
Nikolaevna is a Russian patronymic indicating "daughter of Nikolai," famously borne by Grand Duchess Anastasia Nikolaevna of Russia.
-
B.
Alekseyevna
Alekseyevna is a Russian patronymic surname suffix meaning "daughter of Alexei," historically borne by women such as Sophia Alekseyevna of Russia.
-
C.
Kirillovna
Kirillovna is a Russian female patronymic indicating that the bearer is the daughter of someone named Kirill.
-
D.
Nina Alexandrovna
Nina Alexandrovna was an actress known for her role in Sergei Eisenstein’s silent Soviet film "The General Line."
-
E.
Alexandrovna
Alexandrovna is a Russian female patronymic indicating "daughter of Alexander," commonly used in the full names of women in Russian nobility and broader Russian culture.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4145d608190bd93239f04f7da41 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84eeaddb48190890b3e07967e12fa |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:41 p.m.