Triple
T3553960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikhail Shumilov |
E75175
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Shumilov
Shumilov is a Russian-language surname borne by various individuals, including military figures and public personalities.
|
E367077
|
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: Shumilov | Statement: [Mikhail Shumilov, familyName, Shumilov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shumilov Context triple: [Mikhail Shumilov, familyName, Shumilov]
-
A.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
B.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
C.
Kozlov
Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
-
D.
Vyazemsky
Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
-
E.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
- 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: Shumilov Triple: [Mikhail Shumilov, familyName, Shumilov]
Generated description
Shumilov is a Russian-language surname borne by various individuals, including military figures and public personalities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shumilov Target entity description: Shumilov is a Russian-language surname borne by various individuals, including military figures and public personalities.
-
A.
Bezymianny
Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
-
B.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
-
C.
Kozlov
Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
-
D.
Vyazemsky
Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
-
E.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05549d88190acdebdd542ea1a67 |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38beef8b4819090109ab89e9671d6 |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c84fc788190a074f14a76bb7944 |
completed | March 13, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38cb872948190a75bc6d6829187c5 |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:20 p.m.