Triple

T522765
Position Surface form Disambiguated ID Type / Status
Subject Theodore Beza E10853 entity
Predicate theologicalDoctrine P15107 FINISHED
Object double predestination 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: double predestination | Statement: [Theodore Beza, theologicalDoctrine, double predestination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theologicalDoctrine
Context triple: [Theodore Beza, theologicalDoctrine, double predestination]
  • A. theologicalCategory
    Indicates the classification of something according to a particular theological type, tradition, or doctrinal category.
  • B. theologicalConcept chosen
    Indicates that something is a religious or theological idea, doctrine, or principle within a belief system.
  • C. theologicalFocus
    Indicates that something is primarily concerned with, centered on, or directed toward theological themes, questions, or doctrines.
  • D. theologicalTradition
    Indicates the religious or doctrinal school, lineage, or system of belief within which an entity’s theology is developed or practiced.
  • E. doctrinalEmphasis
    Indicates a relationship where a doctrine, belief system, or teaching is given particular focus, priority, or stress within a religious, ideological, or organizational context.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b4f01881908b408357ff113308 completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f018129c81909494450fcba71b59 completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.