Triple
T9818892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timofei |
E238476
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Timofey |
E179829
|
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: Timofey | Statement: [Timofei, hasVariant, Timofey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timofey Context triple: [Timofei, hasVariant, Timofey]
-
A.
Timofey
chosen
Timofey is a masculine given name, primarily used in Russian and other Slavic cultures, derived from the ancient Greek name Timotheus.
-
B.
Timofei
Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
-
C.
Danil
Danil is a masculine given name, common in Slavic countries, that is a variant of Daniel and typically means "God is my judge."
-
D.
Vova
Vova is a common Russian diminutive form of the male given name Vladimir.
-
E.
Tymofiy
Tymofiy is a masculine given name of Ukrainian origin, notably borne by economist and former Ukrainian minister Tymofiy Mylovanov.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f74e348190be8e4394ae6fe3fe |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc74de14819083299a549f04b2b1 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.