Triple

T19662731
Position Surface form Disambiguated ID Type / Status
Subject Charles III E472121 entity
Predicate spouse P13 FINISHED
Object Camilla, Queen Consort 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: Camilla, Queen Consort | Statement: [Charles III, spouse, Camilla, Queen Consort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camilla, Queen Consort
Context triple: [Charles III, spouse, Camilla, Queen Consort]
  • A. Camilla, Queen Consort chosen
    Camilla, Queen Consort is the wife of King Charles III of the United Kingdom and a senior member of the British royal family.
  • B. Camilla
    Camilla is a late-18th-century novel by English writer Frances Burney that explores themes of sensibility, social expectation, and female experience in Georgian society.
  • C. Camilla
    Camilla is a legendary warrior maiden and swift-footed leader of the Volsci, famed in Roman mythology—especially in Virgil’s Aeneid—for her martial prowess and tragic death in battle.
  • D. Camilla
    Camilla is a feminine given name used in various cultures, often associated with historical and literary figures.
  • E. Camilla Sainsbury
    Camilla Sainsbury is a British heiress and member of the Sainsbury supermarket family, known for her marriage to politician Shaun Woodward.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414b30fc81908e6594ba8f2d2942 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.