Triple
T7975204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhanna Nemtsova |
E185426
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nemtsova
Nemtsova is a Russian surname most notably associated with Zhanna Nemtsova, a journalist and daughter of the late opposition politician Boris Nemtsov.
|
E703052
|
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: Nemtsova | Statement: [Zhanna Nemtsova, familyName, Nemtsova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nemtsova Context triple: [Zhanna Nemtsova, familyName, Nemtsova]
-
A.
Vorontsovskaya
Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
B.
Khokhlova
Khokhlova is a Russian surname most famously borne by Olga Khokhlova, a Ukrainian-Russian ballerina and the first wife of Pablo Picasso.
-
C.
Narvskaya
Narvskaya is a station on the Saint Petersburg Metro, known for its Stalinist architecture and historical Soviet-themed design.
-
D.
Volkova
Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
-
E.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
- 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: Nemtsova Triple: [Zhanna Nemtsova, familyName, Nemtsova]
Generated description
Nemtsova is a Russian surname most notably associated with Zhanna Nemtsova, a journalist and daughter of the late opposition politician Boris Nemtsov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nemtsova Target entity description: Nemtsova is a Russian surname most notably associated with Zhanna Nemtsova, a journalist and daughter of the late opposition politician Boris Nemtsov.
-
A.
Vorontsovskaya
Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
B.
Khokhlova
Khokhlova is a Russian surname most famously borne by Olga Khokhlova, a Ukrainian-Russian ballerina and the first wife of Pablo Picasso.
-
C.
Narvskaya
Narvskaya is a station on the Saint Petersburg Metro, known for its Stalinist architecture and historical Soviet-themed design.
-
D.
Volkova
Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
-
E.
Shubskaya
Shubskaya is a Russian surname most notably associated with Anastasia Shubskaya, a film producer and the wife of hockey star Alexander Ovechkin.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf42a508190bb661fce34ec0151 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0c39e248190a146c1f2fd815f26 |
completed | March 31, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69cbe43d29f8819080f7d729c4f28c75 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc32e2e1c48190b86218bff9af99f5 |
completed | March 31, 2026, 8:47 p.m. |
Created at: March 30, 2026, 5:14 p.m.