Triple

T9370607
Position Surface form Disambiguated ID Type / Status
Subject Cornelia Metella E225519 entity
Predicate praenomen P7966 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: [Cornelia Metella, praenomen, Cornelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cornelia
Context triple: [Cornelia Metella, praenomen, 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. Annia
    Annia was a Roman noblewoman of the late Republic, best known as the wife of the powerful consul and populist leader Lucius Cornelius Cinna.
  • E. Iulia
    Iulia is a Latin given name, historically used in ancient Rome and closely associated with the feminine form of the name Julius.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd508274d88190a64b79ab731ac6a1 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078d08488190bb55e838c6b9ad25 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:43 p.m.