Triple

T8404756
Position Surface form Disambiguated ID Type / Status
Subject Anna E198466 entity
Predicate family P566 FINISHED
Object Queen Iduna E677920 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: Queen Iduna | Statement: [Anna, family, Queen Iduna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Iduna
Context triple: [Anna, family, Queen Iduna]
  • A. Queen Iduna chosen
    Queen Iduna is a key character in Disney's Frozen franchise, known as the compassionate mother of Elsa and Anna and a former queen of the fictional Scandinavian kingdom of Arendelle.
  • B. Ermentrud
    Ermentrud is a given name, typically a historical or medieval European female name, that serves as a variant form of Ermintrude.
  • C. Sulamith
    Sulamith is a haunting 1983 painting by German artist Anselm Kiefer that reflects on memory, loss, and the legacy of World War II through a monumental, charred interior space.
  • D. Everina
    Everina Wollstonecraft was an 18th-century English governess and writer, best known as the younger sister of feminist philosopher Mary Wollstonecraft.
  • E. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83116bf48190894bd5d5465520ef completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02f8596c8190a61b6f1ffd5a609c completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:05 p.m.