Triple

T877380
Position Surface form Disambiguated ID Type / Status
Subject Ragnhild Lie E18951 entity
Predicate givenName P17 FINISHED
Object Ragnhild E18951 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: Ragnhild | Statement: [Ragnhild Lie, givenName, Ragnhild]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ragnhild
Context triple: [Ragnhild Lie, givenName, Ragnhild]
  • A. Margrete
    Margrete is a Scandinavian variant of the female given name Margaret, commonly used in Nordic countries.
  • B. Astrid of Sweden
    Astrid of Sweden was a popular Swedish-born queen consort of Belgium, known for her beauty, compassion, and tragic early death in a car accident in 1935.
  • C. Catharina Bolnes
    Catharina Bolnes was the wife of Dutch painter Johannes Vermeer and the mother of his many children, known primarily through her connection to the artist’s life and estate.
  • D. Dagmar
    Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
  • E. Ragnhild Lie chosen
    Ragnhild Lie is a Norwegian given name bearer, likely known as a woman from Norway with the surname Lie, though specific public details about her are limited.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb06ea88190962502172d434eb4 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c726e6808190b2000051d72b434e completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.