Triple

T21117087
Position Surface form Disambiguated ID Type / Status
Subject CBGB (film) E520326 entity
Predicate stars P1956 FINISHED
Object Malin Åkerman 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: Malin Åkerman | Statement: [CBGB (film), stars, Malin Åkerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malin Åkerman
Context triple: [CBGB (film), stars, Malin Åkerman]
  • A. Malin Åkerman chosen
    Malin Åkerman is a Swedish-Canadian actress and model known for her roles in films such as "Watchmen," "27 Dresses," and "The Heartbreak Kid," as well as the TV series "Billions."
  • B. Karin Larsson
    Karin Larsson was a Swedish artist and designer whose innovative interior and textile designs, created together with her husband Carl Larsson, became iconic for the Scandinavian Arts and Crafts style.
  • C. Ulla Jacobsson
    Ulla Jacobsson was a Swedish actress best known internationally for her roles in films such as "Zulu" and "Smiles of a Summer Night."
  • D. Kerstin Ekman
    Kerstin Ekman is a prominent Swedish novelist and former member of the Swedish Academy, known for her psychologically rich fiction and crime novels.
  • E. Karin Andersson
    Karin Andersson is a notable individual who shares the Swedish surname Andersson and is recognized as one of its prominent bearers.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:55 p.m.