Triple

T1825895
Position Surface form Disambiguated ID Type / Status
Subject Battleship Potemkin E40650 entity
Predicate distributor P1951 FINISHED
Object Goskino E204294 NE FINISHED

How this triple was built (2 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: Goskino | Statement: [Battleship Potemkin, distributor, Goskino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goskino
Context triple: [Battleship Potemkin, distributor, Goskino]
  • A. Goskino chosen
    Goskino was the Soviet state film committee responsible for overseeing and producing motion pictures in the USSR, including landmark works of early Soviet cinema.
  • B. Volkov Theatre
    Volkov Theatre is a historic Russian drama theatre in Yaroslavl, often regarded as one of the oldest professional theatres in Russia.
  • C. Tver Academic Drama Theater
    The Tver Academic Drama Theater is a prominent Russian theatrical institution known for its classical and contemporary stage productions in the city of Tver.
  • D. Bolshoi Theatre
    The Bolshoi Theatre is Russia’s most famous historic theatre and home of the renowned Bolshoi Ballet and Opera companies.
  • E. Gerasimov Institute of Cinematography
    The Gerasimov Institute of Cinematography is a renowned Russian film school in Moscow, considered one of the oldest and most prestigious institutions for cinema and television education in the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69adc9af6d3c8190a9047d06f38f210d completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.