Triple
T9446267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olga Preobrajenska |
E227771
|
entity |
| Predicate | taught |
P335
|
FINISHED |
| Object | Irina Baronova |
E393287
|
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 Baronova | Statement: [Olga Preobrajenska, taught, Irina Baronova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irina Baronova Context triple: [Olga Preobrajenska, taught, Irina Baronova]
-
A.
Irina Baronova
chosen
Irina Baronova was a renowned Russian-born ballerina, celebrated as one of the legendary "Baby Ballerinas" of the Ballets Russes de Monte Carlo in the 1930s.
-
B.
Irina Virganskaya
Irina Virganskaya is the daughter of former Soviet leader Mikhail Gorbachev, known for largely avoiding public political life while occasionally appearing in media related to her father's legacy.
-
C.
Irina Virganskaya
Irina Virganskaya is the daughter of former Soviet leader Leonid Brezhnev and was married to engineer Anatoly Virgansky.
-
D.
Irina Sobyanina
Irina Sobyanina is the former wife of Sergei Sobyanin, the long-serving mayor of Moscow and prominent Russian politician.
-
E.
Irina Muravyova
Irina Muravyova is a renowned Soviet and Russian film and theater actress, widely celebrated for her vibrant performances in late 20th-century cinema and television.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f33deb88190bc74968575963ac4 |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99859b5cc81908475fde408802607 |
completed | April 11, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:51 p.m.