Triple

T11163173
Position Surface form Disambiguated ID Type / Status
Subject Peter Aalbæk Jensen E264090 entity
Predicate employer P7 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: [Peter Aalbæk Jensen, employer, Zentropa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zentropa
Context triple: [Peter Aalbæk Jensen, employer, 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. Al d’Ossché
    Al d’Ossché is a notable musician recognized for his influential performances and contributions to the tradition of Appalachian dulcimer music.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8832fe88190a74d81f9ed547baa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483747ba88190aa6ef9df2545b18b completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:29 p.m.