Triple
T13826938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Davydov |
E332274
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Davydov
Davydov is a Russian surname most notably associated with Karl Davydov, a prominent 19th-century cellist and composer.
|
E1064658
|
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: Davydov | Statement: [Karl Davydov, familyName, Davydov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davydov Context triple: [Karl Davydov, familyName, Davydov]
-
A.
Vasilevsky
Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
-
B.
Alexander Dvornikov
Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
-
C.
Firsov
Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
-
D.
Dmitry Dokhturov
Dmitry Dokhturov was a Russian general of the Napoleonic Wars, noted for his capable leadership in several key engagements against Napoleon’s forces.
-
E.
Pavel Kadochnikov
Pavel Kadochnikov was a prominent Soviet film and theater actor known for his leading roles in classic Russian cinema of the mid-20th century.
- 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: Davydov Triple: [Karl Davydov, familyName, Davydov]
Generated description
Davydov is a Russian surname most notably associated with Karl Davydov, a prominent 19th-century cellist and composer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Davydov Target entity description: Davydov is a Russian surname most notably associated with Karl Davydov, a prominent 19th-century cellist and composer.
-
A.
Vasilevsky
Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
-
B.
Alexander Dvornikov
Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
-
C.
Firsov
Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
-
D.
Dmitry Dokhturov
Dmitry Dokhturov was a Russian general of the Napoleonic Wars, noted for his capable leadership in several key engagements against Napoleon’s forces.
-
E.
Pavel Kadochnikov
Pavel Kadochnikov was a prominent Soviet film and theater actor known for his leading roles in classic Russian cinema of the mid-20th century.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e85c6c81908bdf5d43b917d151 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9d928ac81908867a99740d6c3a0 |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba6b2c208190b01e3a5ae872b14f |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:13 p.m.