Triple
T14929992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Alekseyevich |
E372234
|
entity |
| Predicate | patronymicName |
P7966
|
FINISHED |
| Object | Alekseyevich |
E40637
|
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: Alekseyevich | Statement: [Ivan Alekseyevich, patronymicName, Alekseyevich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alekseyevich Context triple: [Ivan Alekseyevich, patronymicName, Alekseyevich]
-
A.
Alekseyevich
chosen
Alekseyevich is a Russian patronymic derived from the given name Alexei, indicating "son of Alexei."
-
B.
Vasily Aksyonov
Vasily Aksyonov was a prominent Russian writer and dissident known for his satirical and anti-totalitarian novels that challenged Soviet authority.
-
C.
Rozhdestvensky
Rozhdestvensky is a Russian surname most notably associated with figures such as conductor Gennady Rozhdestvensky.
-
D.
Alekseevich
Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
-
E.
Venedikt Erofeev
Venedikt Erofeev was a Russian writer and satirist best known for his cult prose poem "Moscow-Petushki," a darkly comic, philosophical account of a drunken train journey.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c728948190a1cfc62f4038b6ec |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:36 a.m.