Triple

T12845015
Position Surface form Disambiguated ID Type / Status
Subject Александр Валерьевич Сёмин E307151 entity
Predicate familyName P18 FINISHED
Object Сёмин
Сёмин — распространённая русская фамилия, носителями которой являются различные деятели спорта, культуры и других сфер.
 E1006108 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: Сёмин | Statement: [Александр Валерьевич Сёмин, familyName, Сёмин]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Сёмин
Context triple: [Александр Валерьевич Сёмин, familyName, Сёмин]
  • A. Aminyevskaya
    Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
  • B. Novoyasenevskaya
    Novoyasenevskaya is a Moscow Metro station located in the south of the city, serving as a terminal stop on the Kaluzhsko–Rizhskaya line near the Bitsevsky Park area.
  • C. Nagatinskaya
    Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
  • D. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • E. Yelshanka
    Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
  • 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: Сёмин
Triple: [Александр Валерьевич Сёмин, familyName, Сёмин]
Generated description
Сёмин — распространённая русская фамилия, носителями которой являются различные деятели спорта, культуры и других сфер.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Сёмин
Target entity description: Сёмин — распространённая русская фамилия, носителями которой являются различные деятели спорта, культуры и других сфер.
  • A. Aminyevskaya
    Aminyevskaya is a Moscow Metro station on the Big Circle Line serving the Aminyevskoye Shosse area in western Moscow.
  • B. Novoyasenevskaya
    Novoyasenevskaya is a Moscow Metro station located in the south of the city, serving as a terminal stop on the Kaluzhsko–Rizhskaya line near the Bitsevsky Park area.
  • C. Nagatinskaya
    Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
  • D. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • E. Yelshanka
    Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff3a7208190b93f6292ed5efc07 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9fa40c8190bbc2c6ad22795de4 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69ca6358c8190bb076249864f81a8 completed May 3, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69f69dc8b86c81908557fa8538e942de completed May 3, 2026, 12:58 a.m.
Created at: April 9, 2026, 5:36 p.m.