Triple

T22751937
Position Surface form Disambiguated ID Type / Status
Subject Jiří Sequens E562723 entity
Predicate employer P7 FINISHED
Object Barrandov Studios NE NERFINISHED

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: Barrandov Studios | Statement: [Jiří Sequens, employer, Barrandov Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrandov Studios
Context triple: [Jiří Sequens, employer, Barrandov Studios]
  • A. Filmové studio Barrandov chosen
    Filmové studio Barrandov is a major Czech film studio in Prague, historically one of Central Europe’s most important centers of film production.
  • B. Pannónia Film Studio
    Pannónia Film Studio is a renowned Hungarian animation studio known for producing many of the country’s classic animated films and series.
  • C. Łódź Film Studio
    Łódź Film Studio is a prominent Polish film production company known for fostering innovative cinema and supporting acclaimed directors and experimental filmmakers.
  • D. Odesa Film Studio
    Odesa Film Studio is a historic Ukrainian film production studio, renowned as a major center of Soviet and post-Soviet cinema.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.