Triple

T11299779
Position Surface form Disambiguated ID Type / Status
Subject A Blonde in Love E267552 entity
Predicate productionCompany P490 FINISHED
Object Barrandov Studios E530054 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: Barrandov Studios | Statement: [A Blonde in Love, productionCompany, Barrandov Studios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrandov Studios
Context triple: [A Blonde in Love, productionCompany, 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. Odesa Film Studio
    Odesa Film Studio is a historic Ukrainian film production studio, renowned as a major center of Soviet and post-Soviet cinema.
  • 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. Lenfilm Studios
    Lenfilm Studios is one of Russia’s oldest and most prominent film studios, historically based in Saint Petersburg and known for producing many classic Soviet-era films.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a4aad4819097384e1b591be2e3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a4af56881908cc395b6687d40a9 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:32 p.m.