Triple

T29472696
Position Surface form Disambiguated ID Type / Status
Subject Семнадцать мгновений весны E747553 entity
Predicate музыкальнаяТема P128632 FINISHED
Object «Мгновения»
«Мгновения» — это знаменитая лирическая песня Микаэла Таривердиева на стихи Роберта Рождественского, ставшая одной из самых узнаваемых музыкальных тем советского кино.
 E1868751 NE FINISHED

How this triple was built (3 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: «Мгновения» | Statement: [Семнадцать мгновений весны, музыкальнаяТема, «Мгновения»]
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: «Мгновения»
Triple: [Семнадцать мгновений весны, музыкальнаяТема, «Мгновения»]
Generated description
«Мгновения» — это знаменитая лирическая песня Микаэла Таривердиева на стихи Роберта Рождественского, ставшая одной из самых узнаваемых музыкальных тем советского кино.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: музыкальнаяТема
Context triple: [Семнадцать мгновений весны, музыкальнаяТема, «Мгновения»]
  • A. 音楽
    Indicates a relationship where an entity is associated with, involves, or is characterized by music as a form of sound-based artistic or cultural expression.
  • B. musicThemeType
    Indicates the specific category or type of musical theme associated with a piece, segment, or motif.
  • C. themeMusicFor chosen
    Indicates that one entity serves as the theme music or signature tune specifically composed or selected for another entity, such as a show, character, or event.
  • D. musicFeatured
    Indicates that a particular piece of music is prominently included or used within another work, event, or context.
  • E. musicMotif
    Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
  • F. None of above.

Provenance (6 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_69f0bd42cf308190bb01b20bc5b7c2d0 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66bd2451c8190ad14604068f308d8 completed May 2, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f11aae108190b0b52398568cbed6 completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f566453c8190bfbaf22540ac006e completed June 7, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_6a25f983bf6481909f758942e7a6a26f completed June 7, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69f6659b62fc8190b21555d0ba54db2d completed May 2, 2026, 8:59 p.m.
Created at: April 28, 2026, 3:58 p.m.