Triple
T137579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrei |
E2779
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Andreyka |
E2779
|
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: Andreyka | Statement: [Andrei, hasDiminutiveForm, Andreyka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreyka Context triple: [Andrei, hasDiminutiveForm, Andreyka]
-
A.
Andrei
chosen
Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
-
B.
Tverya
Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
-
C.
Golus
Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
-
D.
Koba
Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
-
E.
Anastasia Shubskaya
Anastasia Shubskaya is a Russian model and film producer best known as the wife of NHL star Alex Ovechkin.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a6cab88190944c8f74d8d1605c |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e0f4eef081908a20426715283e68 |
completed | Feb. 28, 2026, 12:35 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.