Triple

T10163258
Position Surface form Disambiguated ID Type / Status
Subject Cornelia Postuma E233942 entity
Predicate mother P120 FINISHED
Object Valeria E241838 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: Valeria | Statement: [Cornelia Postuma, mother, Valeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valeria
Context triple: [Cornelia Postuma, mother, Valeria]
  • A. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • B. Valeria
    Valeria is the clever, sharp-tongued heroine of George Farquhar’s Restoration comedy "The Witty Fair One."
  • C. Valeria chosen
    Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
  • D. Valeria
    Valeria was a late Roman province in the region of Pannonia, located in what is now western Hungary and parts of neighboring countries.
  • E. Valeria
    Valeria is the honorific epithet associated with the ancient Roman legion Legio XX Valeria Victrix, reflecting its distinguished status and achievements.
  • 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_69d300cc37dc8190b331c8d205f40284 completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.