Triple

T12078193
Position Surface form Disambiguated ID Type / Status
Subject Kon-Tiki (2012 film) E287605 entity
Predicate director P255 FINISHED
Object Joachim Rønning E676110 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: Joachim Rønning | Statement: [Kon-Tiki (2012 film), director, Joachim Rønning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joachim Rønning
Context triple: [Kon-Tiki (2012 film), director, Joachim Rønning]
  • A. Joachim Rønning chosen
    Joachim Rønning is a Norwegian film director known for large-scale Hollywood productions such as "Pirates of the Caribbean: Dead Men Tell No Tales" and "Maleficent: Mistress of Evil."
  • B. Roar Uthaug
    Roar Uthaug is a Norwegian film director known for his work in action and disaster films, including the 2018 adaptation of "Tomb Raider."
  • C. Lars Bak
    Lars Bak is a Danish computer scientist and software engineer best known for designing high-performance virtual machines and just-in-time compilers for languages such as Java and JavaScript.
  • D. Alf Torgersen
    Alf Torgersen was the father of Anni-Frid Lyngstad, the Norwegian-Swedish singer best known as a member of the pop group ABBA.
  • E. Pål Røed
    Pål Røed is a Norwegian film producer known for his work on international productions, including the crime thriller "The Snowman" (2017).
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045e81f88190be2b1aabd93f077c completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66301f081909697f9dd444a099e completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.