Triple
T10192035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novogireyevo |
E238058
|
entity |
| Predicate | hasArchitect |
P184
|
FINISHED |
| Object |
A. Vigdorov
A. Vigdorov is an architect known for designing buildings in the Novogireyevo district of Moscow.
|
E964806
|
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: A. Vigdorov | Statement: [Novogireyevo, hasArchitect, A. Vigdorov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A. Vigdorov Context triple: [Novogireyevo, hasArchitect, A. Vigdorov]
-
A.
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.
-
B.
Viktor Sadovnichiy
Viktor Sadovnichiy is a Russian mathematician and academic leader who has long served as the influential rector of Moscow State University.
-
C.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
D.
Leonid Govorov
Leonid Govorov was a Soviet artillery marshal and military commander best known for his key role in organizing the defense and eventual lifting of the Siege of Leningrad during World War II.
-
E.
Viktor Kazantsev
Viktor Kazantsev was a Russian army general and politician who played a key role in federal operations in the North Caucasus during the early 2000s.
- 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: A. Vigdorov Triple: [Novogireyevo, hasArchitect, A. Vigdorov]
Generated description
A. Vigdorov is an architect known for designing buildings in the Novogireyevo district of Moscow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A. Vigdorov Target entity description: A. Vigdorov is an architect known for designing buildings in the Novogireyevo district of Moscow.
-
A.
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.
-
B.
Viktor Sadovnichiy
Viktor Sadovnichiy is a Russian mathematician and academic leader who has long served as the influential rector of Moscow State University.
-
C.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
D.
Leonid Govorov
Leonid Govorov was a Soviet artillery marshal and military commander best known for his key role in organizing the defense and eventual lifting of the Siege of Leningrad during World War II.
-
E.
Viktor Kazantsev
Viktor Kazantsev was a Russian army general and politician who played a key role in federal operations in the North Caucasus during the early 2000s.
- 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_69f5f62d41448190ab65fb9c81d4d673 |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: March 30, 2026, 9:13 p.m.