Triple
T12888032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirillovna |
E308279
|
entity |
| Predicate | distinguishedFrom |
P1612
|
FINISHED |
| Object | Kirillovich |
E211111
|
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: Kirillovich | Statement: [Kirillovna, distinguishedFrom, Kirillovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirillovich Context triple: [Kirillovna, distinguishedFrom, Kirillovich]
-
A.
Kirillovich
chosen
Kirillovich is the Russian patronymic of Pierre Bezukhov, indicating he is the son of a man named Kirill.
-
B.
Kirillov
Kirillov is a character in Jean-Luc Godard’s 1967 political film "La Chinoise," representing radical intellectual and revolutionary ideals.
-
C.
Kirillov
Kirillov is a small historic town in Russia known for its medieval monasteries and traditional northern architecture.
-
D.
Kirilov
Kirilov is a philosophical and tormented character in Fyodor Dostoevsky’s novel "Demons," known for his radical ideas about freedom, God, and suicide.
-
E.
Mikhailovich
Mikhailovich is a Russian patronymic indicating "son of Mikhail," commonly used as the middle name in Russian naming conventions.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714581988190afc720ffd7797860 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5576ae4819084914697b2e86d9f |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:39 p.m.