Triple

T7725239
Position Surface form Disambiguated ID Type / Status
Subject Polar Music E175112 entity
Predicate associatedAct P37 FINISHED
Object Agnetha Fältskog E244925 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: Agnetha Fältskog | Statement: [Polar Music, associatedAct, Agnetha Fältskog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnetha Fältskog
Context triple: [Polar Music, associatedAct, 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. 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."
  • D. Pat Benatar
    Pat Benatar is an American rock singer and four-time Grammy Award winner known for hits like "Hit Me with Your Best Shot" and "Love Is a Battlefield."
  • E. Pia Lindström
    Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031394e48190833b906af9166fe5 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6b1f7648190a0e2fd82ecb9c8b9 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:05 p.m.