Triple
T10538584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orekhovo |
E248635
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
L. Popov
L. Popov is an architect known for designing buildings in the settlement of Orekhovo.
|
E869903
|
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: L. Popov | Statement: [Orekhovo, architect, L. Popov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L. Popov Context triple: [Orekhovo, architect, L. Popov]
-
A.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
B.
Alexander Vovin
Alexander Vovin was a prominent historical linguist and philologist specializing in East Asian and especially Japanese and Koreanic languages, known for his influential work on language classification and historical reconstruction.
-
C.
Anatoly Pakhomov
Anatoly Pakhomov is a Russian politician who served as the mayor of Sochi during its transformation and international prominence as the site of the 2014 Winter Olympics.
-
D.
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.
-
E.
Petr Novikov
Petr Novikov was a prominent Soviet mathematician known for his work in group theory, logic, and the solution of the word problem for groups.
- 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: L. Popov Triple: [Orekhovo, architect, L. Popov]
Generated description
L. Popov is an architect known for designing buildings in the settlement of Orekhovo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L. Popov Target entity description: L. Popov is an architect known for designing buildings in the settlement of Orekhovo.
-
A.
V. Volodarsky
V. Volodarsky was a Russian Bolshevik revolutionary and political activist prominent in the early Soviet period.
-
B.
Alexander Vovin
Alexander Vovin was a prominent historical linguist and philologist specializing in East Asian and especially Japanese and Koreanic languages, known for his influential work on language classification and historical reconstruction.
-
C.
Anatoly Pakhomov
Anatoly Pakhomov is a Russian politician who served as the mayor of Sochi during its transformation and international prominence as the site of the 2014 Winter Olympics.
-
D.
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.
-
E.
Petr Novikov
Petr Novikov was a prominent Soviet mathematician known for his work in group theory, logic, and the solution of the word problem for groups.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5730d88190b266a940faf53f65 |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e5b827881909e87651a88976f18 |
completed | April 10, 2026, 2:51 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:31 p.m.