Triple

T31420204
Position Surface form Disambiguated ID Type / Status
Subject Annia Galeria Faustina E801508 entity
Predicate marriedToEmperorDuringReignOf P46634 FINISHED
Object Antoninus Pius NE NERFINISHED

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: Antoninus Pius | Statement: [Annia Galeria Faustina, marriedToEmperorDuringReignOf, Antoninus Pius]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriedToEmperorDuringReignOf
Context triple: [Annia Galeria Faustina, marriedToEmperorDuringReignOf, Antoninus Pius]
  • A. marriedToEmperor chosen
    Indicates that one entity is the spouse of an emperor, signifying a marital relationship to a reigning or titled emperor.
  • B. marriedToMonarchUntil
    Indicates that an individual was married to a monarch up to a specified end point in time, after which the marriage no longer held.
  • C. spouseReignName
    Indicates the official reign name or title held by a person's spouse during their period of rule.
  • D. marriedToMonarchFrom
    Indicates that a person is married to a monarch who rules or comes from a specified country or region.
  • E. associatedWithEmperor
    Indicates a relationship in which an entity has a connection, link, or affiliation with an emperor, such as through service, influence, kinship, or shared authority.
  • F. None of above.

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_69f348c26f048190b4adadd71b4596c5 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fb563aec448190875410fb1a3ed624 completed May 6, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69fb35b9ede881908aaae93a215525df completed May 6, 2026, 12:36 p.m.
Created at: April 30, 2026, 8:47 p.m.