Triple

T1825906
Position Surface form Disambiguated ID Type / Status
Subject Strike E40651 entity
Predicate originalTitle P65 FINISHED
Object Stachka
Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
 E204296 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: Stachka | Statement: [Strike, originalTitle, Stachka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stachka
Context triple: [Strike, originalTitle, Stachka]
  • A. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • B. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Blecharczyk
    Blecharczyk is the surname of Nathan Blecharczyk, the American billionaire entrepreneur and co-founder of Airbnb.
  • E. Łuck
    Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
  • 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: Stachka
Triple: [Strike, originalTitle, Stachka]
Generated description
Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stachka
Target entity description: Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
  • A. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • B. Antoshka
    Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Blecharczyk
    Blecharczyk is the surname of Nathan Blecharczyk, the American billionaire entrepreneur and co-founder of Airbnb.
  • E. Łuck
    Łuck is the Polish name for Lutsk, a historic city in western Ukraine known for its medieval castle and role as a regional cultural center.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb00f13888190aa5582263d55d371 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6927fc8190ad9ce95c92153c64 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc0bf37ac8190b9cbbc5454061e75 completed March 8, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_69adc197f78481909f848e2ee2741e8d completed March 8, 2026, 6:36 p.m.
Created at: March 4, 2026, 7:32 p.m.