Triple

T14799961
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Corona E347879 entity
Predicate hasRuler P5424 FINISHED
Object Queen Arianna E1120757 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 Arianna | Statement: [Kingdom of Corona, hasRuler, Queen Arianna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Arianna
Context triple: [Kingdom of Corona, hasRuler, Queen Arianna]
  • A. Queen Arianna chosen
    Queen Arianna is a fictional monarch from Disney's Tangled universe, known as the gentle and loving mother of Rapunzel and queen of the Kingdom of Corona.
  • B. Queen La
    Queen La is a recurring villainess in the Tarzan stories, depicted as the powerful and often sinister queen and high priestess of the lost city of Opar.
  • C. Queen Lillian
    Queen Lillian is a supporting character in the Shrek animated film series, known as Fiona’s mother and the queen of Far Far Away.
  • D. Queen Ramonda
    Queen Ramonda is a regal Wakandan matriarch and mother of T’Challa in Marvel’s Black Panther franchise.
  • E. Queen Darleen
    Queen Darleen is a Tanzanian singer and performer best known for her work in Bongo Flava music and her association with the influential WCB Wasafi label.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd62c36c81909c2993dc7d1a79ea completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389183a881908e6af44b71f81ace completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:31 a.m.