Triple

T7721430
Position Surface form Disambiguated ID Type / Status
Subject Laura Lopes E175020 entity
Predicate mother P120 FINISHED
Object Camilla Rosemary Shand E29275 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: Camilla Rosemary Shand | Statement: [Laura Lopes, mother, Camilla Rosemary Shand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camilla Rosemary Shand
Context triple: [Laura Lopes, mother, Camilla Rosemary Shand]
  • 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 (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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702f0366c8190a78f0b03f090fc2c completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e581d4e881908c88d55364a5e014 completed March 29, 2026, 8:40 a.m.
Created at: March 27, 2026, 4:05 p.m.