Triple
T13669741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igor Larionov |
E327715
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Elena Larionova
Elena Larionova is known as the wife of Russian Hall of Fame ice hockey player Igor Larionov.
|
E1052963
|
NE FINISHED |
How this triple was built (4 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: Elena Larionova | Statement: [Igor Larionov, spouse, Elena Larionova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Larionova Context triple: [Igor Larionov, spouse, Elena Larionova]
-
A.
Tatiana Goryacheva
Tatiana Goryacheva is a notable individual who bears the Russian surname Goryacheva.
-
B.
Tatiana Shebanova
Tatiana Shebanova was a distinguished Russian pianist renowned for her interpretations of Chopin and her success at the International Chopin Piano Competition.
-
C.
Natalia Bestemianova
Natalia Bestemianova is a former Soviet ice dancer and Olympic champion renowned for her dramatic, expressive style and multiple World and European titles with partner Andrei Bukin.
-
D.
Valentina Malyavina
Valentina Malyavina was a Soviet and Russian film and theater actress known for her prominent roles in 1960s–1970s cinema.
-
E.
Svetlana Goryacheva
Svetlana Goryacheva is a Russian politician known for her long-standing service in the State Duma and the Federation Council, often associated with left-leaning and opposition politics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elena Larionova Triple: [Igor Larionov, spouse, Elena Larionova]
Generated description
Elena Larionova is known as the wife of Russian Hall of Fame ice hockey player Igor Larionov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elena Larionova Target entity description: Elena Larionova is known as the wife of Russian Hall of Fame ice hockey player Igor Larionov.
-
A.
Tatiana Goryacheva
Tatiana Goryacheva is a notable individual who bears the Russian surname Goryacheva.
-
B.
Tatiana Shebanova
Tatiana Shebanova was a distinguished Russian pianist renowned for her interpretations of Chopin and her success at the International Chopin Piano Competition.
-
C.
Natalia Bestemianova
Natalia Bestemianova is a former Soviet ice dancer and Olympic champion renowned for her dramatic, expressive style and multiple World and European titles with partner Andrei Bukin.
-
D.
Valentina Malyavina
Valentina Malyavina was a Soviet and Russian film and theater actress known for her prominent roles in 1960s–1970s cinema.
-
E.
Svetlana Goryacheva
Svetlana Goryacheva is a Russian politician known for her long-standing service in the State Duma and the Federation Council, often associated with left-leaning and opposition politics.
- F. None of above. chosen
Provenance (5 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0f56048190bcbc6581a8cdc0f5 |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6d74bc8190ad5476a06e8fd8ad |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:53 p.m.