Triple
T16928148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konstantin Lopushansky |
E410630
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Konstantin |
E141815
|
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: Konstantin | Statement: [Konstantin Lopushansky, givenName, Konstantin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konstantin Context triple: [Konstantin Lopushansky, givenName, Konstantin]
-
A.
Konstantin
chosen
Konstantin is a masculine given name of Latin origin, widely used in Slavic and other European cultures, meaning “steadfast” or “constant.”
-
B.
Vsevolod
Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
-
C.
Oleg
Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
D.
Konstantin Mostras
Konstantin Mostras was a prominent Russian violin pedagogue of the early 20th century, known for training influential violinists such as Ivan Galamian.
-
E.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf3fc3c8190a884f7ecd5c47adb |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148201f7c8190a964723ca7ef2b68 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:30 a.m.