Triple

T8625101
Position Surface form Disambiguated ID Type / Status
Subject Office Romance (1977 film) E204261 entity
Predicate filmingStudio P6107 FINISHED
Object Mosfilm studios 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 studios | Statement: [Office Romance (1977 film), filmingStudio, Mosfilm studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosfilm studios
Context triple: [Office Romance (1977 film), filmingStudio, Mosfilm studios]
  • 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. UFA film studios
    UFA film studios was a major German film production company that became a central force in shaping the innovative and influential cinema of the Weimar Republic.
  • C. Lenfilm Studios
    Lenfilm Studios is one of Russia’s oldest and most prominent film studios, historically based in Saint Petersburg and known for producing many classic Soviet-era films.
  • D. Odesa Film Studio
    Odesa Film Studio is a historic Ukrainian film production studio, renowned as a major center of Soviet and post-Soviet cinema.
  • E. 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.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472a07908190a2368975459543f9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05bdc87fc8190a5ae0883742cb08c completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 6:26 p.m.