Triple

T2359688
Position Surface form Disambiguated ID Type / Status
Subject Constantinus Magnus E47241 entity
Predicate spouse P13 FINISHED
Object Minervina E39239 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: Minervina | Statement: [Constantinus Magnus, spouse, Minervina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minervina
Context triple: [Constantinus Magnus, spouse, Minervina]
  • A. Minervina chosen
    Minervina was the first wife or consort of the Roman emperor Constantine the Great, known primarily as the mother of his son Crispus.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • D. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • E. Gregoria
    Gregoria is a feminine given name derived from the masculine name Gregory, commonly used in various European languages.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc720b9048190a5d3b19e5e1f373a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963b84f08190b3ca60db98dd8745 completed March 9, 2026, 9:43 a.m.
Created at: March 4, 2026, 7:55 p.m.