Triple

T15277862
Position Surface form Disambiguated ID Type / Status
Subject Gnaeus Cornelius Scipio Calvus E365189 entity
Predicate memberOf P10 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: [Gnaeus Cornelius Scipio Calvus, memberOf, gens Cornelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: gens Cornelia
Context triple: [Gnaeus Cornelius Scipio Calvus, memberOf, 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
    Cornelia is a small city in northeastern Georgia that serves as a local commercial and cultural hub for Habersham County.
  • D. Cornelia Bell
    Cornelia Bell was the wife of William Paterson, a Founding Father and early U.S. Supreme Court Associate Justice.
  • E. gens Aemilia
    Gens Aemilia was one of the most ancient and prestigious patrician families of the Roman Republic, producing numerous influential magistrates and statesmen.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00953bc848190b83919f39d5ee37b completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef734f488190951d029183d456f5 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.