Triple

T14356159
Position Surface form Disambiguated ID Type / Status
Subject DEFA E355974 entity
Predicate hadDivision P889 FINISHED
Object DEFA Studio for Documentary Films E355974 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: DEFA Studio for Documentary Films | Statement: [DEFA, hadDivision, DEFA Studio for Documentary Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DEFA Studio for Documentary Films
Context triple: [DEFA, hadDivision, DEFA Studio for Documentary Films]
  • A. DEFA chosen
    DEFA was the state-owned film studio of East Germany, known for producing feature films, documentaries, and animated works during the socialist era.
  • B. Mosfilm
    Mosfilm is one of Russia’s largest and oldest film studios, renowned for producing many of the Soviet Union’s most iconic movies.
  • C. Neue Deutsche Filmgesellschaft
    Neue Deutsche Filmgesellschaft is a German film production and distribution company known for its role in the post-war German cinema industry.
  • D. Gorky Film Studio
    Gorky Film Studio is a major Soviet and Russian film studio, historically known for producing children’s films and notable cinematic works in Moscow.
  • E. Lenfilm
    Lenfilm is one of Russia’s oldest and most prominent film studios, based in Saint Petersburg and known for producing many classic Soviet-era movies.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f519bf881908615f4d47e0f77aa completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550ca6b88190b76cd486bdd66fdf completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:15 a.m.