Triple
T10569068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagrationovskaya |
E249430
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Yu. Kolesnikova
Yu. Kolesnikova is an architect known for designing the Bagrationovskaya station in the Moscow Metro system.
|
E871910
|
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: Yu. Kolesnikova | Statement: [Bagrationovskaya, architect, Yu. Kolesnikova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yu. Kolesnikova Context triple: [Bagrationovskaya, architect, Yu. Kolesnikova]
-
A.
I. A. Bykova
I. A. Bykova was a Soviet architect known for her work on Moscow Metro stations, including the design of Paveletskaya on the Zamoskvoretskaya line.
-
B.
N. Shurygina
N. Shurygina is an architect known for contributing to the design and development of the Novogireyevo district in Moscow.
-
C.
Anna Koltovskaya
Anna Koltovskaya was a Russian noblewoman best known as one of the later wives of Tsar Ivan IV (Ivan the Terrible) of Russia.
-
D.
Anna Polovetskaya
Anna Polovetskaya was a Kievan Rus' princess of Cuman origin who became Grand Princess of Kiev through her marriage to Grand Prince Vsevolod I.
-
E.
Anna Kulishova
Anna Kulishova, better known as Anna Kuliscioff, was a prominent Russian-Italian socialist, feminist, and physician active in late 19th- and early 20th-century Italy.
- 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: Yu. Kolesnikova Triple: [Bagrationovskaya, architect, Yu. Kolesnikova]
Generated description
Yu. Kolesnikova is an architect known for designing the Bagrationovskaya station in the Moscow Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yu. Kolesnikova Target entity description: Yu. Kolesnikova is an architect known for designing the Bagrationovskaya station in the Moscow Metro system.
-
A.
I. A. Bykova
I. A. Bykova was a Soviet architect known for her work on Moscow Metro stations, including the design of Paveletskaya on the Zamoskvoretskaya line.
-
B.
N. Shurygina
N. Shurygina is an architect known for contributing to the design and development of the Novogireyevo district in Moscow.
-
C.
Anna Koltovskaya
Anna Koltovskaya was a Russian noblewoman best known as one of the later wives of Tsar Ivan IV (Ivan the Terrible) of Russia.
-
D.
Anna Polovetskaya
Anna Polovetskaya was a Kievan Rus' princess of Cuman origin who became Grand Princess of Kiev through her marriage to Grand Prince Vsevolod I.
-
E.
Anna Kulishova
Anna Kulishova, better known as Anna Kuliscioff, was a prominent Russian-Italian socialist, feminist, and physician active in late 19th- and early 20th-century Italy.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ff53c8190ae7c399d49b585f5 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b4c26ec8190910efdf4a236d654 |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94e2f16788190bec54b250dad09a9 |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9518517608190b5036694b83f5f58 |
completed | April 10, 2026, 7:37 p.m. |
Created at: April 6, 2026, 12:37 p.m.