Triple

T10845474
Position Surface form Disambiguated ID Type / Status
Subject The Silence E255997 entity
Predicate productionCompany P490 FINISHED
Object Constantin Film E309268 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: Constantin Film | Statement: [The Silence, productionCompany, Constantin Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constantin Film
Context triple: [The Silence, productionCompany, Constantin Film]
  • A. Constantin Film chosen
    Constantin Film is a German film production and distribution company known for producing a wide range of international films, including major genre franchises.
  • B. Universum Film AG
    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.
  • C. Bavaria Film
    Bavaria Film is a major German film production and studio company known for producing numerous acclaimed movies and television series.
  • D. Minerva Film
    Minerva Film is an Italian film distribution and production company known for handling classic and auteur cinema releases.
  • E. Wunderbar Films
    Wunderbar Films is an Indian film production company, founded by actor Dhanush, known for producing acclaimed Tamil-language 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d0155c81908fb55ba6b45db800 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb162d718819081fbc3a082672b4f completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:19 p.m.