Triple

T1497841
Position Surface form Disambiguated ID Type / Status
Subject Anton Lopatin E29726 entity
Predicate familyName P18 FINISHED
Object Lopatin
Lopatin is a Russian surname borne by various notable individuals in fields such as the military, arts, and academia.
 E171616 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: Lopatin | Statement: [Anton Lopatin, familyName, Lopatin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lopatin
Context triple: [Anton Lopatin, familyName, Lopatin]
  • A. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • B. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • E. Pavlovich
    Pavlovich is the Russian patronymic indicating "son of Pavel," used in the full name of Emperor Alexander I of Russia.
  • 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: Lopatin
Triple: [Anton Lopatin, familyName, Lopatin]
Generated description
Lopatin is a Russian surname borne by various notable individuals in fields such as the military, arts, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lopatin
Target entity description: Lopatin is a Russian surname borne by various notable individuals in fields such as the military, arts, and academia.
  • A. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • B. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • C. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • D. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • E. Pavlovich
    Pavlovich is the Russian patronymic indicating "son of Pavel," used in the full name of Emperor Alexander I of Russia.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ef5ce88190a6b520525a6d42a3 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1caf8b288190b428cf903db2c107 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1e3e8fd4819098de7b04e0fad4dc completed March 8, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ad1eef24c88190a232d40aa4d2235b completed March 8, 2026, 7:02 a.m.
Created at: March 1, 2026, 8:12 p.m.