Triple

T22094088
Position Surface form Disambiguated ID Type / Status
Subject ABBA: The Movie E545979 entity
Predicate starring P1507 FINISHED
Object Agnetha Fältskog 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: Agnetha Fältskog | Statement: [ABBA: The Movie, starring, Agnetha Fältskog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnetha Fältskog
Context triple: [ABBA: The Movie, starring, Agnetha Fältskog]
  • A. Agnetha Fältskog chosen
    Agnetha Fältskog is a Swedish singer and songwriter best known as one of the lead vocalists of the internationally successful pop group ABBA.
  • B. Anni-Frid Lyngstad
    Anni-Frid Lyngstad is a Norwegian-Swedish singer best known as one of the two female vocalists of the iconic pop group ABBA.
  • C. Ebba
    Ebba is a Scandinavian feminine given name, particularly common in Sweden and Denmark.
  • D. Stina Gardell
    Stina Gardell is a Swedish film producer known for her work on documentaries, including the acclaimed biographical film "Ingrid Bergman: In Her Own Words."
  • E. Anette Qviberg
    Anette Qviberg is a Swedish interior designer and fashion stylist best known for her long-term marriage to actor and martial artist Dolph Lundgren.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.