Triple

T5789039
Position Surface form Disambiguated ID Type / Status
Subject Queen Sonja of Norway E128345 entity
Predicate name P16 FINISHED
Object Sonja E532728 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: Sonja | Statement: [Queen Sonja of Norway, name, Sonja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonja
Context triple: [Queen Sonja of Norway, name, 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 Zat
    Sonja Zat is the central protagonist of the film "Lantana," around whom the story’s emotional and narrative tensions revolve.
  • C. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • D. Sonia
    Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
  • E. Sonja Harper
    Sonja Harper is a teenage granddaughter in the sitcom "Mama’s Family," known for her rebellious streak and frequent clashes with her sharp-tongued grandmother, Thelma Harper.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a53d0148190bdebc4f5609939ac completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0981d9430819081e953dba9c2f8f8 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.