Triple

T16689316
Position Surface form Disambiguated ID Type / Status
Subject Yekaterina E405551 entity
Predicate hasDiminutive P456 FINISHED
Object Katyusha
Katyusha is a common Russian diminutive form of the female given name Yekaterina (Catherine).
 E1227857 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: Katyusha | Statement: [Yekaterina, hasDiminutive, Katyusha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katyusha
Context triple: [Yekaterina, hasDiminutive, Katyusha]
  • A. Katyusha
    Katyusha is a Soviet World War II-era multiple rocket launcher system known for its devastating, rapid-fire barrages and distinctive howling sound.
  • B. The Motherland Calls
    The Motherland Calls is a colossal Soviet-era statue in Volgograd, Russia, commemorating the Battle of Stalingrad and symbolizing the Motherland’s call to defend the nation.
  • C. Song of the Soviet Army
    Song of the Soviet Army is a Soviet military march composed by Alexander Alexandrov that became one of the most iconic patriotic songs of the Red Army era.
  • D. Yuriatin
    Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
  • E. Khovanshchina
    Khovanshchina is an unfinished historical opera by Modest Mussorgsky that portrays the political and religious turmoil in late 17th-century 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: Katyusha
Triple: [Yekaterina, hasDiminutive, Katyusha]
Generated description
Katyusha is a common Russian diminutive form of the female given name Yekaterina (Catherine).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katyusha
Target entity description: Katyusha is a common Russian diminutive form of the female given name Yekaterina (Catherine).
  • A. Katyusha
    Katyusha is a Soviet World War II-era multiple rocket launcher system known for its devastating, rapid-fire barrages and distinctive howling sound.
  • B. The Motherland Calls
    The Motherland Calls is a colossal Soviet-era statue in Volgograd, Russia, commemorating the Battle of Stalingrad and symbolizing the Motherland’s call to defend the nation.
  • C. Song of the Soviet Army
    Song of the Soviet Army is a Soviet military march composed by Alexander Alexandrov that became one of the most iconic patriotic songs of the Red Army era.
  • D. Yuriatin
    Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
  • E. Khovanshchina
    Khovanshchina is an unfinished historical opera by Modest Mussorgsky that portrays the political and religious turmoil in late 17th-century 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea80d88819091fc61ed3c01955a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a46a4cc8190b47f9dcf27380c46 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008abfcb4481908efb8a1cb3c0086e completed May 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_6a008b55b28c8190bb2d63c7fe0db2cc completed May 10, 2026, 1:42 p.m.
Created at: April 10, 2026, 5:19 a.m.