Triple
T17057855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savva Mamontov |
E413871
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Savva
Savva is a masculine given name of Slavic origin, historically borne by notable Russian figures such as industrialist and arts patron Savva Mamontov.
|
E1258854
|
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: Savva | Statement: [Savva Mamontov, givenName, Savva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savva Context triple: [Savva Mamontov, givenName, Savva]
-
A.
Gavril
Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
-
B.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Solovyov
Solovyov is a Russian surname most notably associated with figures such as philosopher Vladimir Solovyov and various other prominent Russian cultural and public personalities.
-
D.
Rodion
Rodion is a masculine given name of Slavic origin, most notably borne by Soviet military commander Rodion Malinovsky.
-
E.
Sergei
Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
- 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: Savva Triple: [Savva Mamontov, givenName, Savva]
Generated description
Savva is a masculine given name of Slavic origin, historically borne by notable Russian figures such as industrialist and arts patron Savva Mamontov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Savva Target entity description: Savva is a masculine given name of Slavic origin, historically borne by notable Russian figures such as industrialist and arts patron Savva Mamontov.
-
A.
Gavril
Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
-
B.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Solovyov
Solovyov is a Russian surname most notably associated with figures such as philosopher Vladimir Solovyov and various other prominent Russian cultural and public personalities.
-
D.
Rodion
Rodion is a masculine given name of Slavic origin, most notably borne by Soviet military commander Rodion Malinovsky.
-
E.
Sergei
Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7b553c81908ec70ba0d0988710 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170df4d1c81909dd05abfd1cfc2ac |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a0172a34194819094c290be86ec0e7e |
completed | May 11, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01732467408190b78c32296e20b55f |
completed | May 11, 2026, 6:11 a.m. |
Created at: April 10, 2026, 5:34 a.m.