Triple

T5732033
Position Surface form Disambiguated ID Type / Status
Subject Dogville E126405 entity
Predicate productionCompany P490 FINISHED
Object Zentropa E244217 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: Zentropa | Statement: [Dogville, productionCompany, Zentropa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zentropa
Context triple: [Dogville, productionCompany, Zentropa]
  • A. Zentropa chosen
    Zentropa is a Danish film production company co-founded by director Lars von Trier, known for producing numerous acclaimed and often provocative European art-house films.
  • B. Zabivaka
    Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
  • C. Stockach
    Stockach is a small town in southern Germany’s Baden-Württemberg state, situated near Lake Constance and known historically as a regional administrative and market center.
  • D. Zzzax
    Zzzax is an electricity-based Marvel supervillain composed of pure energy who frequently battles the Hulk and other heroes.
  • E. Igor
    Igor is a masculine given name of Russian origin, widely used in Slavic countries and beyond.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02532fd308190a7434dd42a55e9ac completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a906e008190bd2b9a3481733f14 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.