Triple

T5461154
Position Surface form Disambiguated ID Type / Status
Subject Ruslan and Ludmila E122595 entity
Predicate hasCharacter P2308 FINISHED
Object Ratmir
Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
 E520931 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: Ratmir | Statement: [Ruslan and Ludmila, hasCharacter, Ratmir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ratmir
Context triple: [Ruslan and Ludmila, hasCharacter, Ratmir]
  • A. Mikhaylovich
    Mikhaylovich is a Russian patronymic name indicating that a person is the son of someone named Mikhail.
  • B. Pavel Batov
    Pavel Batov was a distinguished Soviet general who commanded key formations on the Eastern Front during World War II and later held senior military and political posts in the USSR.
  • C. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • D. Pugachyov
    Pugachyov is a small town in southwestern Russia known for its location on the Bolshoy Irgiz River within Saratov Oblast.
  • E. 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.
  • 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: Ratmir
Triple: [Ruslan and Ludmila, hasCharacter, Ratmir]
Generated description
Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ratmir
Target entity description: Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
  • A. Mikhaylovich
    Mikhaylovich is a Russian patronymic name indicating that a person is the son of someone named Mikhail.
  • B. Pavel Batov
    Pavel Batov was a distinguished Soviet general who commanded key formations on the Eastern Front during World War II and later held senior military and political posts in the USSR.
  • C. Akhromeyev
    Akhromeyev is the surname of Sergei Akhromeyev, a prominent Soviet military leader and Marshal of the Soviet Union.
  • D. Pugachyov
    Pugachyov is a small town in southwestern Russia known for its location on the Bolshoy Irgiz River within Saratov Oblast.
  • E. 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.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9201dbfc8190bea22d6ecbc25b3e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414c39a4819098f2862f3c4594c0 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf4207f4e4819096709c49fe001005 completed March 22, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf42d7b4b88190954084985134a8c2 completed March 22, 2026, 1:16 a.m.
Created at: March 20, 2026, 2:08 p.m.