Triple
T19349401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamenskiy |
E483972
|
entity |
| Predicate | hasTransliterationVariant |
P5923
|
FINISHED |
| Object | Kamensky |
—
|
NE NERFINISHED |
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: Kamensky | Statement: [Kamenskiy, hasTransliterationVariant, Kamensky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamensky Context triple: [Kamenskiy, hasTransliterationVariant, Kamensky]
-
A.
Kamensky
chosen
Kamensky is a Russian surname most notably associated with former professional ice hockey player Valeri Kamensky.
-
B.
Kaminsky
Kaminsky is the original family surname of American entertainer Danny Kaye, born David Daniel Kaminsky.
-
C.
Lemansky
Lemansky is a central character on the television crime drama "The Shield," known as a member of Vic Mackey’s corrupt Strike Team.
-
D.
Kupreanof
Kupreanof is a small city in Alaska located on Kupreanof Island, known for its remote setting and very low population.
-
E.
Khoyski
Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185d54c0819081715ca13a5806b4 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:34 p.m.