Triple

T10689135
Position Surface form Disambiguated ID Type / Status
Subject Agilulf E251961 entity
Predicate spouseDynasticRole P73194 FINISHED
Object Theodelinda as a Catholic influence at court LITERAL 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: Theodelinda as a Catholic influence at court | Statement: [Agilulf, spouseDynasticRole, Theodelinda as a Catholic influence at court]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseDynasticRole
Context triple: [Agilulf, spouseDynasticRole, Theodelinda as a Catholic influence at court]
  • A. spouseDynasty
    Indicates that there is a marital relationship linking an entity to the dynasty (family line or ruling house) of their spouse.
  • B. roleDuringSpouseTenure chosen
    Indicates that a person held a particular role or position specifically during the period when their spouse was in office or serving in a defined tenure.
  • C. spouseOfHead
    Indicates that one person is the married partner of the individual who holds the position of head (e.g., head of a household, organization, or state).
  • D. spouseAssociatedWith
    Indicates a marital or spousal relationship or close association between two entities.
  • E. spouseType
    Indicates the specific role or category of a person within a spousal relationship (e.g., husband, wife, partner).
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd1aef888190ba92474af3a49e36 completed April 9, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69d6dd8cc0788190b4c02a772e4b58b3 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:11 p.m.