Triple

T19062116
Position Surface form Disambiguated ID Type / Status
Subject Kinga Duda E466558 entity
Predicate givenName P17 FINISHED
Object Kinga 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: Kinga | Statement: [Kinga Duda, givenName, Kinga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinga
Context triple: [Kinga Duda, givenName, Kinga]
  • A. Kinga chosen
    Kinga is a feminine given name, commonly used in Central and Eastern Europe, that is cognate with the name Kunegunda.
  • B. Kinga Burza
    Kinga Burza is a Polish-Australian music video director known for her stylish, pop-centric visuals for artists such as Katy Perry.
  • C. Queen Kapes
    Queen Kapes was an ancient Egyptian royal woman of the 22nd Dynasty, best known as the consort of Pharaoh Takelot I and the mother of Pharaoh Osorkon II.
  • D. Queen Sasha
    Queen Sasha is a character from Stephen King’s fantasy novel "The Eyes of the Dragon," known as the compassionate and wise queen of Delain and mother of Prince Peter.
  • E. Daji
    Daji is a legendary figure in Chinese mythology, often depicted as a beautiful but malevolent consort whose influence is blamed for the downfall of the Shang dynasty.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e195ac048190a57b57e585d022d4 completed April 20, 2026, 8:19 a.m.
Created at: April 10, 2026, 12:03 p.m.