Triple

T17866080
Position Surface form Disambiguated ID Type / Status
Subject Camilla Horn E446706 entity
Predicate givenName P17 FINISHED
Object Camilla 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 | Statement: [Camilla Horn, givenName, Camilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camilla
Context triple: [Camilla Horn, givenName, Camilla]
  • A. 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.
  • B. Camilla chosen
    Camilla is a feminine given name used in various cultures, often associated with historical and literary figures.
  • 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, Queen Consort
    Camilla, Queen Consort is the wife of King Charles III of the United Kingdom and a senior member of the British royal family.
  • E. Camilla Rhodes
    Camilla Rhodes is a pivotal and enigmatic actress character in David Lynch's surreal neo-noir film "Mulholland Drive."
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49793a2588190bb341ac606d767fe completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.