Triple
T5959393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irina Korina |
E132595
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Irina |
E385166
|
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: Irina | Statement: [Irina Korina, givenName, Irina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irina Context triple: [Irina Korina, givenName, Irina]
-
A.
Irina
chosen
Irina is a feminine given name commonly used in Slavic and other Eastern European cultures, derived from the Greek name Irene meaning "peace."
-
B.
Irina Smirnova
Irina Smirnova is best known as the wife of legendary Soviet ice hockey player Valeri Kharlamov.
-
C.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
D.
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
E.
Anastasia Virganskaya
Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039fbf49881909d97b4abb3c5286d |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6636b8a388190879829af44325e0e |
completed | March 27, 2026, 11 a.m. |
Created at: March 22, 2026, 4:02 p.m.