Triple

T7361506
Position Surface form Disambiguated ID Type / Status
Subject Bavaria Film E169759 entity
Predicate alsoKnownAs P39 FINISHED
Object Bavaria Film GmbH E169759 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: Bavaria Film GmbH | Statement: [Bavaria Film, alsoKnownAs, Bavaria Film GmbH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bavaria Film GmbH
Context triple: [Bavaria Film, alsoKnownAs, Bavaria Film GmbH]
  • A. Bavaria Film chosen
    Bavaria Film is a major German film production and studio company known for producing numerous acclaimed movies and television series.
  • B. 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.
  • 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. 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.
  • E. Tobis Film
    Tobis Film is a German film production and distribution company known for its role in the European cinema industry since the early 20th century.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f15e0280819086627cef15fe18bd completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab3a9d88190b9193dd0729eba5a completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.