Triple
T11220581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulyana Lopatkina |
E265549
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lopatkina
Lopatkina is a Russian surname most prominently associated with Ulyana Lopatkina, a renowned prima ballerina of the Mariinsky Ballet.
|
E931582
|
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: Lopatkina | Statement: [Ulyana Lopatkina, familyName, Lopatkina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lopatkina Context triple: [Ulyana Lopatkina, familyName, Lopatkina]
-
A.
Marfa Lapkina
Marfa Lapkina was a Soviet actress best known for her leading role in Sergei Eisenstein’s silent film "The General Line" (also known as "Old and New").
-
B.
Pugacheva
Pugacheva is a Russian surname most famously borne by iconic Soviet and Russian pop singer Alla Pugacheva.
-
C.
Khodchenkova
Khodchenkova is the surname of Russian actress Svetlana Khodchenkova, known for her work in both Russian cinema and international films.
-
D.
Valentina Yankovskaya
Valentina Yankovskaya is a Soviet film editor best known for her work on the classic comedy "The Diamond Arm."
-
E.
Maria Khoreva
Maria Khoreva is a prominent Russian ballerina and Mariinsky Theatre principal dancer renowned for her virtuosity and classical Vaganova training.
- 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: Lopatkina Triple: [Ulyana Lopatkina, familyName, Lopatkina]
Generated description
Lopatkina is a Russian surname most prominently associated with Ulyana Lopatkina, a renowned prima ballerina of the Mariinsky Ballet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lopatkina Target entity description: Lopatkina is a Russian surname most prominently associated with Ulyana Lopatkina, a renowned prima ballerina of the Mariinsky Ballet.
-
A.
Marfa Lapkina
Marfa Lapkina was a Soviet actress best known for her leading role in Sergei Eisenstein’s silent film "The General Line" (also known as "Old and New").
-
B.
Pugacheva
Pugacheva is a Russian surname most famously borne by iconic Soviet and Russian pop singer Alla Pugacheva.
-
C.
Khodchenkova
Khodchenkova is the surname of Russian actress Svetlana Khodchenkova, known for her work in both Russian cinema and international films.
-
D.
Valentina Yankovskaya
Valentina Yankovskaya is a Soviet film editor best known for her work on the classic comedy "The Diamond Arm."
-
E.
Maria Khoreva
Maria Khoreva is a prominent Russian ballerina and Mariinsky Theatre principal dancer renowned for her virtuosity and classical Vaganova training.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e684ba7e0481908235e3e45f8902e6 |
completed | April 20, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69e699599cb88190919e077a757c527c |
completed | April 20, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6a9716b908190add15ed69c8b676a |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:30 p.m.