Triple
T19013377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Anathema |
E465282
|
entity |
| Predicate | targetsTeaching |
P134126
|
FINISHED |
| Object | division of Christ into two persons |
—
|
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: division of Christ into two persons | Statement: [First Anathema, targetsTeaching, division of Christ into two persons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsTeaching Context triple: [First Anathema, targetsTeaching, division of Christ into two persons]
-
A.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
B.
targetStudentService
Indicates a relationship where a particular student is the intended recipient or focus of a specific service or support action.
-
C.
containsTeachingOf
Indicates that one entity includes, embodies, or presents the teaching, doctrine, or instructional content associated with another entity.
-
D.
definedTeaching
Indicates that one entity has formally specified or established the teaching content, method, or curriculum for another entity.
-
E.
targetStudentGroup
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
- F. None of above. chosen
Provenance (4 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6aac4dc8190ac51f22c13f1b96c |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.