Triple

T3207330
Position Surface form Disambiguated ID Type / Status
Subject Das blaue Licht E67194 entity
Predicate distributor P1951 FINISHED
Object Universum Film AG E312659 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: [Das blaue Licht, distributor, Universum Film AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universum Film AG
Context triple: [Das blaue Licht, distributor, Universum Film AG]
  • A. Bavaria Film
    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. EuropaCorp
    EuropaCorp is a French film production and distribution company founded by filmmaker Luc Besson, known for producing action and thriller movies such as the "Taxi" and "Taken" franchises.
  • D. Zentropa Entertainments
    Zentropa Entertainments is a Danish film production company co-founded by director Lars von Trier, known for producing innovative and often provocative European cinema.
  • E. Tobis Film chosen
    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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa58340881908347d772cfa0ac4c completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcf7b2481908bc52cfa71bd313c completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.