Triple
T14481083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De docta ignorantia |
E359101
|
entity |
| Predicate | subjectOfBook3 |
P34304
|
FINISHED |
| Object | Christology and salvation |
—
|
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: Christology and salvation | Statement: [De docta ignorantia, subjectOfBook3, Christology and salvation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectOfBook3 Context triple: [De docta ignorantia, subjectOfBook3, Christology and salvation]
-
A.
book3Subject
chosen
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
B.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
C.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
D.
book3Title
Indicates the title assigned to the third book in a sequence or collection associated with an entity.
-
E.
book5Subject
Indicates that an entity serves as the subject (main topic or focus) of the fifth book in a series or collection.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.