Triple
T5881693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Steppe |
E130762
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Yegorushka |
E427844
|
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: Yegorushka | Statement: [The Steppe, mainCharacter, Yegorushka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yegorushka Context triple: [The Steppe, mainCharacter, Yegorushka]
-
A.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
B.
Antoshka
Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
-
C.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
D.
Yegor
chosen
Yegor is a given name of Slavic origin, commonly used in Russian-speaking countries as a variant of the name Georgy (George).
-
E.
Lyova
Lyova is a Russian diminutive form of the male given name Lev.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03673ecd88190978993056b675259 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13330c88190b10f33843f10f51f |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.