Triple

T3971328
Position Surface form Disambiguated ID Type / Status
Subject Autumn Sonata E92340 entity
Predicate hasCastMember P2308 FINISHED
Object Halvar Björk E404555 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: Halvar Björk | Statement: [Autumn Sonata, hasCastMember, Halvar Björk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halvar Björk
Context triple: [Autumn Sonata, hasCastMember, Halvar Björk]
  • A. Halvar Björk chosen
    Halvar Björk was a Swedish actor known for his work in film and television, particularly in collaborations with director Ingmar Bergman.
  • B. Kåre Hedebrant
    Kåre Hedebrant is a Swedish actor best known for his acclaimed childhood performance as the young boy Oskar in the vampire film "Let the Right One In."
  • C. Lars Gyllensten
    Lars Gyllensten was a Swedish author, physician, and long-serving member of the Swedish Academy known for his intellectually rigorous and experimental literary works.
  • D. Per Ahlmark
    Per Ahlmark was a Swedish politician, writer, and former leader of the Liberal People's Party who also served as Sweden’s Deputy Prime Minister in the 1970s.
  • E. Kjell Ödeen
    Kjell Ödeen was a Swedish architect best known for designing major public buildings such as the Scandinavium arena in Gothenburg.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef995d27881908b24a5b2ef57455f completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c443e208190a8bf83ec642a142e completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:32 p.m.