Triple
T9703008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yevgeny Vuchetich |
E234824
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yevgeny |
E359493
|
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: Yevgeny | Statement: [Yevgeny Vuchetich, givenName, Yevgeny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yevgeny Context triple: [Yevgeny Vuchetich, givenName, Yevgeny]
-
A.
Yevgeny
chosen
Yevgeny is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
B.
Semyon
Semyon is a masculine given name of Russian origin, commonly used in Slavic countries.
-
C.
Anatoly
Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
D.
Pyotr
Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
-
E.
Leonid
Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d73a0148190ad4178fd462cdd9c |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d36947145c8190a0137efdad0bca91 |
completed | April 6, 2026, 8:05 a.m. |
Created at: March 30, 2026, 8:18 p.m.