Triple

T14356158
Position Surface form Disambiguated ID Type / Status
Subject DEFA E355974 entity
Predicate hadDivision P889 FINISHED
Object DEFA Studio for Feature 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 Feature Films | Statement: [DEFA, hadDivision, DEFA Studio for Feature Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DEFA Studio for Feature Films
Context triple: [DEFA, hadDivision, DEFA Studio for Feature 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. Playfilm Productions
    Playfilm Productions is a film production company best known for producing the acclaimed drama "The Miracle Worker."
  • C. Mosfilm
    Mosfilm is one of Russia’s largest and oldest film studios, renowned for producing many of the Soviet Union’s most iconic movies.
  • D. 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.
  • E. Artina Films
    Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
  • 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_69fd4c473fa48190866ab946971e971c completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.