Triple

T38342073
Position Surface form Disambiguated ID Type / Status
Subject Church Order of Braunschweig E1041434 entity
Predicate mainTheologian P23020 FINISHED
Object Johann Bugenhagen 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: Johann Bugenhagen | Statement: [Church Order of Braunschweig, mainTheologian, Johann Bugenhagen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainTheologian
Context triple: [Church Order of Braunschweig, mainTheologian, Johann Bugenhagen]
  • A. associatedTheologian chosen
    Indicates a relationship where a theologian is connected or linked to a particular subject, work, institution, or context.
  • B. theologicalRole
    Indicates a relationship where an entity holds or is assigned a specific function, office, or status within a theological or religious framework.
  • C. theologicalFocus
    Indicates that something is primarily concerned with, centered on, or directed toward theological themes, questions, or doctrines.
  • D. theologicalCategory
    Indicates the classification of something according to a particular theological type, tradition, or doctrinal category.
  • E. influencedByTheologian
    Indicates that an entity’s ideas, beliefs, or work are shaped or significantly affected by the teachings or writings of a theologian.
  • 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_69f76e2ad95481908c920c0e5c1c3e26 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd37b695c88190855801626f91c4cd completed May 8, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69fd374cccf08190a230e87164af5938 completed May 8, 2026, 1:07 a.m.
Created at: May 3, 2026, 4:30 p.m.