Triple

T17565465
Position Surface form Disambiguated ID Type / Status
Subject Daikini world E427800 entity
Predicate associatedWith P37 FINISHED
Object Queen Bavmorda 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: Queen Bavmorda | Statement: [Daikini world, associatedWith, Queen Bavmorda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Bavmorda
Context triple: [Daikini world, associatedWith, Queen Bavmorda]
  • A. Queen Bavmorda chosen
    Queen Bavmorda is the ruthless and power-hungry sorceress-queen who serves as the primary villain in the fantasy film "Willow."
  • B. Queen Sitre
    Queen Sitre was an ancient Egyptian queen, likely a royal consort of the New Kingdom period, known from her dedicated tomb and associated funerary monuments.
  • C. Tamora
    Tamora is the vengeful Queen of the Goths and a central antagonist in William Shakespeare’s tragedy "Titus Andronicus."
  • D. Princess Langwidere
    Princess Langwidere is a character from L. Frank Baum’s Oz series, best known as the vain and temperamental princess who owns a collection of interchangeable heads.
  • E. Ella of Frell
    Ella of Frell is the spirited, strong-willed heroine of Gail Carson Levine’s novel "Ella Enchanted," known for struggling against a magical curse of obedience to claim her own agency.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592ce42c8190a54a0a328c5e8ffc completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.