Triple
T21218160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariya Blagovidova |
E522891
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Blagovidova
Blagovidova is a Russian-language surname most notably borne by individuals such as Mariya Blagovidova.
|
E1471292
|
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: Blagovidova | Statement: [Mariya Blagovidova, familyName, Blagovidova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blagovidova Context triple: [Mariya Blagovidova, familyName, Blagovidova]
-
A.
Tikhonova
Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
-
B.
Baklanova
Baklanova is a Russian feminine surname, typically derived from the masculine form Baklanov.
-
C.
Govardeyskaya
Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
-
D.
Vasilyeva
Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
-
E.
Ivanova
Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
- 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: Blagovidova Triple: [Mariya Blagovidova, familyName, Blagovidova]
Generated description
Blagovidova is a Russian-language surname most notably borne by individuals such as Mariya Blagovidova.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blagovidova Target entity description: Blagovidova is a Russian-language surname most notably borne by individuals such as Mariya Blagovidova.
-
A.
Tikhonova
Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
-
B.
Baklanova
Baklanova is a Russian feminine surname, typically derived from the masculine form Baklanov.
-
C.
Govardeyskaya
Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
-
D.
Vasilyeva
Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
-
E.
Ivanova
Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347613308190a1c9f4ea51591d4b |
completed | April 21, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097edb6de4819094cf7a50670afdfa |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a097f5016348190aeb01856a5c57b41 |
completed | May 17, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a097fe399048190a1b29f16d8e46d8d |
completed | May 17, 2026, 8:44 a.m. |
Created at: April 16, 2026, 3:42 p.m.