Triple
T2874008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir |
E56831
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Volodya |
E305738
|
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: Volodya | Statement: [Vladimir, hasShortForm, Volodya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volodya Context triple: [Vladimir, hasShortForm, Volodya]
-
A.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
B.
Vova
chosen
Vova is a common Russian diminutive form of the male given name Vladimir.
-
C.
Andrei
Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
-
D.
Ivan
Ivan is a common Slavic male given name widely used in Russia and other Eastern European countries, equivalent to "John" in English.
-
E.
Alyosha Peshkov
Alyosha Peshkov is the young, semi-autobiographical protagonist of Maxim Gorky’s novel "My Childhood," depicting his harsh upbringing and moral development in late 19th-century Russia.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0032ddc8190bb4d15ec7e3c63e8 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b650629ef88190a3e360fb9c85dcc7 |
completed | March 15, 2026, 6:23 a.m. |
Created at: March 6, 2026, 10:03 p.m.