Triple

T1826014
Position Surface form Disambiguated ID Type / Status
Subject Ivan the Terrible, Part I E40653 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: [Ivan the Terrible, Part I, productionCompany, Mosfilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosfilm
Context triple: [Ivan the Terrible, Part I, 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. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • C. 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.
  • D. GK Films
    GK Films is a British-American production company founded by producer Graham King, known for backing acclaimed films such as Argo, The Departed, and Bohemian Rhapsody.
  • E. Bavaria Film
    Bavaria Film is a major German film production and studio company known for producing numerous acclaimed movies and television series.
  • 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_69adbf6927fc8190ad9ce95c92153c64 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.