Triple

T2217189
Position Surface form Disambiguated ID Type / Status
Subject Honey, Honey E48058 entity
Predicate vocalists P8086 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: [Honey, Honey, vocalists, Agnetha Fältskog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnetha Fältskog
Context triple: [Honey, Honey, vocalists, 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. 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."
  • D. Pia Lindström
    Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
  • E. Britt Ekland
    Britt Ekland is a Swedish actress and former model best known for her roles in 1960s and 1970s films such as "The Wicker Man" and the James Bond movie "The Man with the Golden Gun."
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc010bd4c8190ace293b37eac1de5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69af834e87b48190b3299c70a0679b47 completed March 10, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:46 p.m.