Triple
T10676625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregorios |
E251635
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Grigory |
E882930
|
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: Grigory | Statement: [Gregorios, hasCognate, Grigory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grigory Context triple: [Gregorios, hasCognate, Grigory]
-
A.
Grigory
chosen
Grigory is a masculine given name of Russian origin, historically borne by notable figures such as statesman and nobleman Grigory Orlov.
-
B.
Grigory Rapota
Grigory Rapota is a Russian statesman and diplomat who has held several high-ranking government posts, including serving as a presidential plenipotentiary envoy.
-
C.
Grigory Spiridov
Grigory Spiridov was a prominent 18th-century Russian admiral best known for his leadership in the Russo-Turkish War, particularly at the Battle of Chesma.
-
D.
Gavril
Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
-
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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb94b05c8190b66bf64f5c6d166b |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5099f57ac81909e7734b83ad96a40 |
completed | April 19, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:09 p.m.