Triple

T14356066
Position Surface form Disambiguated ID Type / Status
Subject UFA E355973 entity
Predicate fullName P16 FINISHED
Object Universum Film AG E793233 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: Universum Film AG | Statement: [UFA, fullName, Universum Film AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universum Film AG
Context triple: [UFA, fullName, Universum Film AG]
  • A. Universum Film AG chosen
    Universum Film AG (UFA) is a historic German film production and distribution company, especially prominent during the Weimar Republic era for its influential silent and early sound films.
  • B. Bavaria Film
    Bavaria Film is a major German film production and studio company known for producing numerous acclaimed movies and television series.
  • C. Constantin Film
    Constantin Film is a German film production and distribution company known for producing a wide range of international films, including major genre franchises.
  • D. Wunderbar Films
    Wunderbar Films is an Indian film production company, founded by actor Dhanush, known for producing acclaimed Tamil-language movies.
  • E. Heinz Emigholz Filmproduktion
    Heinz Emigholz Filmproduktion is a German film production company associated with the experimental and architectural cinema of filmmaker Heinz Emigholz.
  • 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.