Triple

T23002247
Position Surface form Disambiguated ID Type / Status
Subject Polar (2019 film) E572664 entity
Predicate cinematographyBy P1953 FINISHED
Object Pär M. Ekberg 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: Pär M. Ekberg | Statement: [Polar (2019 film), cinematographyBy, Pär M. Ekberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pär M. Ekberg
Context triple: [Polar (2019 film), cinematographyBy, Pär M. Ekberg]
  • A. Pär M. Ekberg chosen
    Pär M. Ekberg is a cinematographer known for his work on the action thriller film "Polar."
  • B. Sture Lindgren
    Sture Lindgren was the husband of renowned Swedish author Astrid Lindgren and worked as a businessman in Sweden.
  • C. Göran Tunström
    Göran Tunström was a Swedish novelist and poet known for his lyrical prose and explorations of memory, faith, and small-town life, particularly in works like "The Christmas Oratorio."
  • D. Ulf Ekberg
    Ulf Ekberg is a Swedish musician and producer best known as a founding member and keyboardist of the pop group Ace of Base.
  • E. Torsten Söderberg
    Torsten Söderberg was a Swedish businessman and philanthropist known for his significant contributions to research, culture, and society through the foundation bearing his name.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18353d05481909abacb48a14ef21e completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.