Triple

T1023637
Position Surface form Disambiguated ID Type / Status
Subject Alexander Pushkin E22091 entity
Predicate notableWork P4 FINISHED
Object Ruslan and Ludmila
"Ruslan and Ludmila" is a narrative poem by Alexander Pushkin that blends Russian folklore, romance, and fantasy in a playful, fairy-tale style.
 E122595 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: Ruslan and Ludmila | Statement: [Alexander Pushkin, notableWork, Ruslan and Ludmila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruslan and Ludmila
Context triple: [Alexander Pushkin, notableWork, Ruslan and Ludmila]
  • A. House of Godunov
    The House of Godunov was a short-lived Russian noble dynasty that came to power at the end of the 16th century, most notably through Tsar Boris Godunov’s reign.
  • B. Zhukovsky
    Zhukovsky is a town near Moscow, Russia, known as a major center of aviation research and industry.
  • C. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • D. Love, Antosha
    Love, Antosha is a 2019 documentary film that chronicles the life and career of actor Anton Yelchin through home videos, interviews, and personal writings.
  • E. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • 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: Ruslan and Ludmila
Triple: [Alexander Pushkin, notableWork, Ruslan and Ludmila]
Generated description
"Ruslan and Ludmila" is a narrative poem by Alexander Pushkin that blends Russian folklore, romance, and fantasy in a playful, fairy-tale style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruslan and Ludmila
Target entity description: "Ruslan and Ludmila" is a narrative poem by Alexander Pushkin that blends Russian folklore, romance, and fantasy in a playful, fairy-tale style.
  • A. House of Godunov
    The House of Godunov was a short-lived Russian noble dynasty that came to power at the end of the 16th century, most notably through Tsar Boris Godunov’s reign.
  • B. Zhukovsky
    Zhukovsky is a town near Moscow, Russia, known as a major center of aviation research and industry.
  • C. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • D. Love, Antosha
    Love, Antosha is a 2019 documentary film that chronicles the life and career of actor Anton Yelchin through home videos, interviews, and personal writings.
  • E. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e0f8908190bfe0a4cd8b31dfed completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb83118819098a2b283a1cbf8d6 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3e1821048190ad726b265c154abc completed March 7, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e7f51fc81908e067a66e2714a50 completed March 7, 2026, 3:04 p.m.
Created at: March 1, 2026, 7:41 p.m.