Triple

T21588979
Position Surface form Disambiguated ID Type / Status
Subject Sonja of Norway E532728 entity
Predicate givenName P17 FINISHED
Object Sonja 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: Sonja | Statement: [Sonja of Norway, givenName, Sonja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonja
Context triple: [Sonja of Norway, givenName, Sonja]
  • A. Sonja chosen
    Sonja is the Queen of Norway, married to King Harald V and known for her long-standing role in the Norwegian royal family.
  • B. Sonja
    Sonja is a character from Woody Allen’s satirical film "Love and Death," serving as the witty and philosophical counterpart to the protagonist in its parody of Russian literature and existential themes.
  • C. Sonja
    Sonja is a feminine given name used in various cultures, often considered a variant of Sonia or Sonya.
  • D. Sonja Zat
    Sonja Zat is the central protagonist of the film "Lantana," around whom the story’s emotional and narrative tensions revolve.
  • E. Sonja Kristina
    Sonja Kristina is an English singer and actress best known as the lead vocalist of the progressive rock band Curved Air.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadb25108190b7a3d2e8dfc8ae60 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.