Triple
T10192033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novogireyevo |
E238058
|
entity |
| Predicate | hasArchitect |
P184
|
FINISHED |
| Object |
N. Shumakov
N. Shumakov is a Russian architect best known for designing major Moscow Metro stations and transport infrastructure projects.
|
E847238
|
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: N. Shumakov | Statement: [Novogireyevo, hasArchitect, N. Shumakov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N. Shumakov Context triple: [Novogireyevo, hasArchitect, N. Shumakov]
-
A.
E. Sokolov
E. Sokolov was a Russian architect known for his work on prominent St. Petersburg landmarks in the late 18th and early 19th centuries.
-
B.
M. Zimin
M. Zimin is a film producer known for work on the acclaimed Soviet World War II drama "Ballad of a Soldier."
-
C.
D. N. Chechulin
D. N. Chechulin was a prominent Soviet architect known for designing major public buildings and infrastructure projects in the USSR.
-
D.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
E.
Yuri Nikulin
Yuri Nikulin was a beloved Soviet and Russian clown and film actor, renowned for his work in the Moscow Circus on Tsvetnoy Boulevard and for starring in many classic Soviet comedies.
- 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: N. Shumakov Triple: [Novogireyevo, hasArchitect, N. Shumakov]
Generated description
N. Shumakov is a Russian architect best known for designing major Moscow Metro stations and transport infrastructure projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N. Shumakov Target entity description: N. Shumakov is a Russian architect best known for designing major Moscow Metro stations and transport infrastructure projects.
-
A.
E. Sokolov
E. Sokolov was a Russian architect known for his work on prominent St. Petersburg landmarks in the late 18th and early 19th centuries.
-
B.
M. Zimin
M. Zimin is a film producer known for work on the acclaimed Soviet World War II drama "Ballad of a Soldier."
-
C.
D. N. Chechulin
D. N. Chechulin was a prominent Soviet architect known for designing major public buildings and infrastructure projects in the USSR.
-
D.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
E.
Yuri Nikulin
Yuri Nikulin was a beloved Soviet and Russian clown and film actor, renowned for his work in the Moscow Circus on Tsvetnoy Boulevard and for starring in many classic Soviet comedies.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc4fb808190aae2e4b84be96f83 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317ca2cf481909cf715ef9248be3c |
completed | April 6, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69d3188886908190ba0a5539ce942980 |
completed | April 6, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31c4fb8288190bbc6b3d4a79dafb1 |
completed | April 6, 2026, 2:37 a.m. |
Created at: March 30, 2026, 9:13 p.m.