Triple

T10163264
Position Surface form Disambiguated ID Type / Status
Subject Cornelia Postuma E233942 entity
Predicate namedAfter P63 FINISHED
Object gens Cornelia E212281 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: gens Cornelia | Statement: [Cornelia Postuma, namedAfter, gens Cornelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gens Cornelia
Context triple: [Cornelia Postuma, namedAfter, gens Cornelia]
  • A. gens Cornelia chosen
    Gens Cornelia was one of the most prominent and influential patrician families of ancient Rome, producing numerous famous statesmen and generals, including Scipio Africanus.
  • B. Cornelia
    Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
  • C. Cornelia Bell
    Cornelia Bell was the wife of William Paterson, a Founding Father and early U.S. Supreme Court Associate Justice.
  • D. gens Aemilia
    Gens Aemilia was one of the most ancient and prestigious patrician families of the Roman Republic, producing numerous influential magistrates and statesmen.
  • E. Gens Cornelia
    Gens Cornelia was one of the most prominent and influential patrician families of ancient Rome, producing numerous notable statesmen, generals, and consuls.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec6a7bb48190952f4318af9cc32b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d31774617c8190848ad4990fe5801d completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:09 p.m.