Triple

T7060702
Position Surface form Disambiguated ID Type / Status
Subject Mikhail Glinka E164207 entity
Predicate notableWork P4 FINISHED
Object Kamarinskaya
Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
 E640478 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: Kamarinskaya | Statement: [Mikhail Glinka, notableWork, Kamarinskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamarinskaya
Context triple: [Mikhail Glinka, notableWork, Kamarinskaya]
  • A. Kuntsevskaya
    Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
  • B. Kashirina
    Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
  • C. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • D. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • E. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • 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: Kamarinskaya
Triple: [Mikhail Glinka, notableWork, Kamarinskaya]
Generated description
Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamarinskaya
Target entity description: Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
  • A. Kuntsevskaya
    Kuntsevskaya is a Moscow Metro station on the Big Circle Line serving the Kuntsevo District in western Moscow.
  • B. Kashirina
    Kashirina is a Russian surname most notably borne by Varvara Vasilyevna Kashirina.
  • C. Govardeyskaya
    Govardeyskaya is a Moscow Metro station on the Kalininsko–Solntsevskaya line.
  • D. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • E. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e459de348190912cd5326fb8bee0 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7944b4a60819089e565cb895c432f completed March 28, 2026, 8:41 a.m.
NEDg Description generation batch_69c79649c5d88190a1c70f84008aaf57 completed March 28, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69c796a26d00819093980129e452bddd completed March 28, 2026, 8:51 a.m.
Created at: March 27, 2026, 2:38 p.m.