Triple

T1826058
Position Surface form Disambiguated ID Type / Status
Subject The General Line E40654 entity
Predicate productionCompany P490 FINISHED
Object Mosfilm E40647 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: Mosfilm | Statement: [The General Line, productionCompany, Mosfilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosfilm
Context triple: [The General Line, productionCompany, Mosfilm]
  • A. Mosfilm chosen
    Mosfilm is one of Russia’s largest and oldest film studios, renowned for producing many of the Soviet Union’s most iconic movies.
  • B. 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.
  • C. Goskino
    Goskino was the Soviet state film committee responsible for overseeing and producing motion pictures in the USSR, including landmark works of early Soviet cinema.
  • D. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • E. Babelsberg Film Studio
    Babelsberg Film Studio is one of the world’s oldest large-scale film studios and a historic center of German and international film production, located in Potsdam.
  • 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_69adc9b24f448190a3aa5a85a9106d71 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.