Triple
T14983457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dmitry Donskoy |
E373640
|
entity |
| Predicate | patronymicName |
P7966
|
FINISHED |
| Object | Ivanovich |
E103529
|
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: Ivanovich | Statement: [Dmitry Donskoy, patronymicName, Ivanovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivanovich Context triple: [Dmitry Donskoy, patronymicName, Ivanovich]
-
A.
Ivanovich
chosen
Ivanovich is a common Russian patronymic meaning “son of Ivan,” frequently used as a middle name in Russian full names.
-
B.
Ivanov
Ivanov is an early play by Russian dramatist Anton Chekhov that portrays the moral and emotional decline of a disillusioned landowner in provincial society.
-
C.
Ivanova
Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
-
D.
Ivan Igor
Ivan Igor is the obsessive, disfigured sculptor and main antagonist in the horror film "Mystery of the Wax Museum."
-
E.
Vasilevsky
Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bf136e88190b3d812f50233c640 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.