Triple
T6846495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoshka |
E157907
|
entity |
| Predicate | writingForm |
P37066
|
FINISHED |
| Object | Антошка |
E157907
|
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: Антошка | Statement: [Antoshka, writingForm, Антошка]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Антошка Context triple: [Antoshka, writingForm, Антошка]
-
A.
Antoshka
chosen
Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
-
B.
Mykola
Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
-
C.
Vadym
Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
-
D.
Vova
Vova is a common Russian diminutive form of the male given name Vladimir.
-
E.
Bogdana
Bogdana is a Slavic female given name, generally meaning “given by God” or “God’s gift.”
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7cbe4488190b41ddf953f12f55f |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fc42e688190baa8413883e5506c |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:20 p.m.