Triple
T19928492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Shepherd (angel of repentance) |
E478989
|
entity |
| Predicate | instructsOn |
P21344
|
FINISHED |
| Object | repentance after baptism |
—
|
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: repentance after baptism | Statement: [the Shepherd (angel of repentance), instructsOn, repentance after baptism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructsOn Context triple: [the Shepherd (angel of repentance), instructsOn, repentance after baptism]
-
A.
helpsIn
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
-
B.
usageInstruction
Indicates that one entity provides guidance or directions on how to properly use, operate, or handle another entity.
-
C.
onboarding
Indicates the process by which an entity is introduced, integrated, and given the necessary resources or information to begin participating in or using another entity (such as a system, organization, or service).
-
D.
canInstruct
Indicates that one entity has the authority or ability to give instructions or guidance to another entity.
-
E.
teachesAbout
chosen
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659cd4500819090363a4b7d6bf193 |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.