Triple
T8331088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christ existing as community |
E195074
|
entity |
| Predicate | coreThemeOf |
P64673
|
FINISHED |
| Object | Dietrich Bonhoeffer’s ecclesiology |
—
|
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: Dietrich Bonhoeffer’s ecclesiology | Statement: [Christ existing as community, coreThemeOf, Dietrich Bonhoeffer’s ecclesiology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreThemeOf Context triple: [Christ existing as community, coreThemeOf, Dietrich Bonhoeffer’s ecclesiology]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
centralThemeContext
Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
-
C.
centralThemeContribution
Indicates that one entity contributes significantly to shaping, supporting, or expressing the central theme of another entity.
-
D.
supportsThemeOf
Indicates that one entity reinforces, aligns with, or contributes to the central theme expressed by another entity.
-
E.
keyThemeIn
chosen
Indicates that a particular theme is a central or primary thematic focus within a given work, context, or subject.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fbb2a3881909ef09ffcfcbb6e77 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:56 p.m.