Triple

T8183474
Position Surface form Disambiguated ID Type / Status
Subject Lady Cornelia Henrietta Maria Spencer-Churchill E191123 entity
Predicate givenName P17 FINISHED
Object Cornelia E162833 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: Cornelia | Statement: [Lady Cornelia Henrietta Maria Spencer-Churchill, givenName, Cornelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornelia
Context triple: [Lady Cornelia Henrietta Maria Spencer-Churchill, givenName, Cornelia]
  • A. Cornelia chosen
    Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
  • B. Erminia
    Erminia is a compassionate and conflicted princess in Torquato Tasso’s epic poem "Gerusalemme liberata," known for her unrequited love for the Christian knight Tancredi and her dramatic flight from the battlefield.
  • C. Lollia
    Lollia was the family name (nomen) of the ancient Roman gens Lollia, to which the noblewoman Lollia Paulina belonged.
  • D. Iulia
    Iulia is a Latin given name, historically used in ancient Rome and closely associated with the feminine form of the name Julius.
  • E. Leonessa
    Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4f4ef88190ad346edad14b67ee completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3489fd8c8190a919aff6e3b3df31 completed April 1, 2026, 3:06 p.m.
Created at: March 30, 2026, 5:41 p.m.