Triple

T14083796
Position Surface form Disambiguated ID Type / Status
Subject Babylon (2022 film) E338936 entity
Predicate cinematographer P1953 FINISHED
Object Linus Sandgren E221279 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: Linus Sandgren | Statement: [Babylon (2022 film), cinematographer, Linus Sandgren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linus Sandgren
Context triple: [Babylon (2022 film), cinematographer, Linus Sandgren]
  • A. Linus Sandgren chosen
    Linus Sandgren is an Academy Award–winning Swedish cinematographer known for his visually distinctive work on films such as La La Land, First Man, and American Hustle.
  • B. Mikael Andersson
    Mikael Andersson is a Swedish ice hockey player best known for his significant contributions to the Malmö Redhawks organization.
  • C. Niklas Sundström
    Niklas Sundström is a Swedish former professional ice hockey forward who played in the NHL and represented Sweden internationally, known for his strong two-way play.
  • D. Jonas Karlsson
    Jonas Karlsson is a Swedish actor and writer known for his work in Scandinavian film and television as well as international productions.
  • E. Erik Edlund
    Erik Edlund was a Swedish physicist and academic who mentored future Nobel laureate Svante Arrhenius and contributed to 19th-century physical science education in Sweden.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb676620481908ed2fa5687a21866 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.