Triple

T8473759
Position Surface form Disambiguated ID Type / Status
Subject Tullia E200340 entity
Predicate mother P120 FINISHED
Object Terentia E200340 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: Terentia | Statement: [Tullia, mother, Terentia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terentia
Context triple: [Tullia, mother, Terentia]
  • A. Terentia chosen
    Terentia was the first wife of the Roman orator and statesman Cicero, known for her wealth, social influence, and involvement in his political and personal affairs.
  • B. Terentius
    Terentius is an ancient Roman family name (nomen) that gave rise to the later surname Terence.
  • C. Publilia
    Publilia was the second wife of the Roman orator and statesman Marcus Tullius Cicero, whom he married after divorcing Terentia.
  • D. Florus
    Florus was a Roman historian and rhetorician best known for his epitome of Roman history, which includes an account of the Third Servile War.
  • E. Proculeius
    Proculeius is a loyal Roman officer in Shakespeare’s tragedy "Antony and Cleopatra," known for his role in securing Cleopatra’s surrender on Octavius Caesar’s behalf.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f7328481909ad19bcf8d182022 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de1fae48190a1149f639faca147 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:11 p.m.