Triple
T1846994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yelena Gagarina |
E41305
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Yelena
Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
|
E226393
|
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: Yelena | Statement: [Yelena Gagarina, givenName, Yelena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yelena Context triple: [Yelena Gagarina, givenName, Yelena]
-
A.
Xenia Shestova
Xenia Shestova was a Russian noblewoman and influential matriarch of the early Romanov dynasty, best known as the mother of Tsar Mikhail I of Russia.
-
B.
Tatyana Ovechkina
Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
-
C.
Anastasia Virganskaya
Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
-
D.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
E.
Ekaterina Kalinina
Ekaterina Kalinina was a Soviet political figure and revolutionary best known as the wife of prominent Bolshevik leader and nominal Soviet head of state Mikhail Kalinin.
- 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: Yelena Triple: [Yelena Gagarina, givenName, Yelena]
Generated description
Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yelena Target entity description: Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
-
A.
Xenia Shestova
Xenia Shestova was a Russian noblewoman and influential matriarch of the early Romanov dynasty, best known as the mother of Tsar Mikhail I of Russia.
-
B.
Tatyana Ovechkina
Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
-
C.
Anastasia Virganskaya
Anastasia Virganskaya is the granddaughter of former Soviet leader Mikhail Gorbachev and the daughter of his only child, Irina Virganskaya.
-
D.
Irina Korina
Irina Korina is the mother of late Russian-American actor Anton Yelchin.
-
E.
Ekaterina Kalinina
Ekaterina Kalinina was a Soviet political figure and revolutionary best known as the wife of prominent Bolshevik leader and nominal Soviet head of state Mikhail Kalinin.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb052e0a8819091bbc0da0e0a20fb |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0abb346081908df2c8390e4938d5 |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0b49abfc81908876ea54c7b7dcc2 |
completed | March 8, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0d1bb5c881908c27bdd359e78773 |
completed | March 8, 2026, 11:58 p.m. |
Created at: March 4, 2026, 7:33 p.m.