Triple

T23231381
Position Surface form Disambiguated ID Type / Status
Subject Inger E581163 entity
Predicate hasChild P369 FINISHED
Object Sivert 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: Sivert | Statement: [Inger, hasChild, Sivert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sivert
Context triple: [Inger, hasChild, Sivert]
  • A. Sivert chosen
    Sivert is a character in Knut Hamsun’s novel "Growth of the Soil," depicted as one of Isak’s sons who embodies the continuation of his father’s rural, agrarian legacy.
  • B. Sivorg
    Sivorg was a clandestine Norwegian resistance organization during World War II that coordinated civilian opposition and underground activities against the German occupation.
  • C. Simen
    Simen is a given name, primarily used in Scandinavian countries, that serves as a variant of the name Simon.
  • D. Haraldsen
    Haraldsen is a Norwegian surname most notably borne by Queen Sonja of Norway before her marriage into the royal family.
  • E. Sievers
    Sievers is a German-language surname borne by various notable individuals across fields such as science, sports, and the arts.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1923325a08190a529da687de53489 completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.