Triple

T19629130
Position Surface form Disambiguated ID Type / Status
Subject Polar (film) E471217 entity
Predicate cinematographyBy P1953 FINISHED
Object Pär M. Ekberg
Pär M. Ekberg is a cinematographer known for his work on the action thriller film "Polar."
E1419888 NE FINISHED

How this triple was built (4 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 (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 (film), cinematographyBy, Pär M. Ekberg]
  • A. Sture Lindgren
    Sture Lindgren was the husband of renowned Swedish author Astrid Lindgren and worked as a businessman in Sweden.
  • B. 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."
  • C. 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.
  • D. Göran Malmqvist
    Göran Malmqvist was a Swedish sinologist, literary historian, translator, and member of the Swedish Academy known for his influential work on Chinese language and literature.
  • E. Göran Sonnevi
    Göran Sonnevi is a Swedish poet renowned for his intellectually dense, politically engaged, and formally experimental poetry.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pär M. Ekberg
Triple: [Polar (film), cinematographyBy, Pär M. Ekberg]
Generated description
Pär M. Ekberg is a cinematographer known for his work on the action thriller film "Polar."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pär M. Ekberg
Target entity description: Pär M. Ekberg is a cinematographer known for his work on the action thriller film "Polar."
  • A. Sture Lindgren
    Sture Lindgren was the husband of renowned Swedish author Astrid Lindgren and worked as a businessman in Sweden.
  • B. 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."
  • C. 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.
  • D. Göran Malmqvist
    Göran Malmqvist was a Swedish sinologist, literary historian, translator, and member of the Swedish Academy known for his influential work on Chinese language and literature.
  • E. Göran Sonnevi
    Göran Sonnevi is a Swedish poet renowned for his intellectually dense, politically engaged, and formally experimental poetry.
  • F. None of above. chosen

Provenance (5 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64101a0448190ba19f8917ae85dd6 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08550f1aec819083536adc943e33c2 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855a0d2448190956d254f012e6325 completed May 16, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0855ff8ff88190933abcb757d8699c completed May 16, 2026, 11:33 a.m.
Created at: April 10, 2026, 1:44 p.m.