Triple

T17966321
Position Surface form Disambiguated ID Type / Status
Subject Andrei Moskvin E449216 entity
Predicate familyName P18 FINISHED
Object Moskvin
Moskvin is a Russian surname borne by various notable individuals in fields such as the arts, sports, and academia.
 E1299438 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: Moskvin | Statement: [Andrei Moskvin, familyName, Moskvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moskvin
Context triple: [Andrei Moskvin, familyName, Moskvin]
  • A. Moscavide
    Moscavide is an urban parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • B. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • C. Podvoisky
    Podvoisky is a Russian surname most notably associated with Bolshevik revolutionary and military organizer Nikolai Podvoisky.
  • D. Yezernitsky
    Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • 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: Moskvin
Triple: [Andrei Moskvin, familyName, Moskvin]
Generated description
Moskvin is a Russian surname borne by various notable individuals in fields such as the arts, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moskvin
Target entity description: Moskvin is a Russian surname borne by various notable individuals in fields such as the arts, sports, and academia.
  • A. Moscavide
    Moscavide is an urban parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • B. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • C. Podvoisky
    Podvoisky is a Russian surname most notably associated with Bolshevik revolutionary and military organizer Nikolai Podvoisky.
  • D. Yezernitsky
    Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1380960819089a3c0dd7cd57e5e completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0330120d1881908801112f9f400cd0 completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a0333edd0188190aa87c462813527a6 completed May 12, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_6a03347520ac8190b0b1ebfa122bfbf0 completed May 12, 2026, 2:08 p.m.
Created at: April 10, 2026, 10:22 a.m.