Triple
T10689663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuznetsky Most |
E251975
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
V. Cheremin
V. Cheremin is an architect known for designing the Kuznetsky Most building.
|
E969286
|
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: V. Cheremin | Statement: [Kuznetsky Most, architect, V. Cheremin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: V. Cheremin Context triple: [Kuznetsky Most, architect, V. Cheremin]
-
A.
D. N. Chechulin
D. N. Chechulin was a prominent Soviet architect known for designing major public buildings and infrastructure projects in the USSR.
-
B.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
C.
V. B. Belogolovsky
V. B. Belogolovsky is an architect best known for his role in designing the Mask of Sorrow monument commemorating victims of political repression in Magadan, Russia.
-
D.
A. Vigdorov
A. Vigdorov is an architect known for designing buildings in the Novogireyevo district of Moscow.
-
E.
Vyacheslav Kebich
Vyacheslav Kebich was a Belarusian politician who served as the first Prime Minister of independent Belarus and played a key role in the dissolution of the Soviet Union.
- 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: V. Cheremin Triple: [Kuznetsky Most, architect, V. Cheremin]
Generated description
V. Cheremin is an architect known for designing the Kuznetsky Most building.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: V. Cheremin Target entity description: V. Cheremin is an architect known for designing the Kuznetsky Most building.
-
A.
D. N. Chechulin
D. N. Chechulin was a prominent Soviet architect known for designing major public buildings and infrastructure projects in the USSR.
-
B.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
C.
V. B. Belogolovsky
V. B. Belogolovsky is an architect best known for his role in designing the Mask of Sorrow monument commemorating victims of political repression in Magadan, Russia.
-
D.
A. Vigdorov
A. Vigdorov is an architect known for designing buildings in the Novogireyevo district of Moscow.
-
E.
Vyacheslav Kebich
Vyacheslav Kebich was a Belarusian politician who served as the first Prime Minister of independent Belarus and played a key role in the dissolution of the Soviet Union.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1c0f0081908a6869ee756ec789 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a4d8a3481909c7f8a529d0051c2 |
completed | May 2, 2026, 2:29 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd51d34819099927fee476958ea |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:11 p.m.