Triple
T20505007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel (Old English poem) |
E503404
|
entity |
| Predicate | didacticFocus |
P6235
|
FINISHED |
| Object | Christian ethical instruction |
—
|
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: Christian ethical instruction | Statement: [Daniel (Old English poem), didacticFocus, Christian ethical instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didacticFocus Context triple: [Daniel (Old English poem), didacticFocus, Christian ethical instruction]
-
A.
didacticPurpose
Indicates that something is intended to teach, instruct, or convey educational content or guidance.
-
B.
educationalFocus
chosen
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
C.
didacticCharacter
Indicates that one entity serves a teaching or instructional role toward another, conveying guidance, lessons, or moral instruction.
-
D.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
E.
definedTeaching
Indicates that one entity has formally specified or established the teaching content, method, or curriculum for another entity.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc539908190a18918fd9b7a829d |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.