Triple

T18367346
Position Surface form Disambiguated ID Type / Status
Subject Rose Elisabeth Paget E440081 entity
Predicate middleName P143 FINISHED
Object Elisabeth 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: Elisabeth | Statement: [Rose Elisabeth Paget, middleName, Elisabeth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabeth
Context triple: [Rose Elisabeth Paget, middleName, Elisabeth]
  • A. Elisabeth chosen
    Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
  • B. Elisabeth
    Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
  • C. Louise of Great Britain
    Louise of Great Britain was a British princess who became Queen of Denmark and Norway through her marriage to King Frederick V.
  • D. Victoria Adelaide Mary Louisa
    Victoria Adelaide Mary Louisa, better known as Victoria, Princess Royal, was the eldest child of Queen Victoria and Prince Albert and later became German Empress and Queen of Prussia as the wife of Emperor Frederick III.
  • E. Victoria Elisa
    Victoria Elisa is a personal given name, likely used as a feminine first name in Spanish- or Portuguese-speaking contexts.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174f5f448190a1fc67d3039aadd9 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.