Triple
T24879604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don’t Waste Your Life |
E622663
|
entity |
| Predicate | hasAuthorTheologicalView |
P100549
|
FINISHED |
| Object | Christian hedonism |
—
|
NE NERFINISHED |
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 hedonism | Statement: [Don’t Waste Your Life, hasAuthorTheologicalView, Christian hedonism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorTheologicalView Context triple: [Don’t Waste Your Life, hasAuthorTheologicalView, Christian hedonism]
-
A.
hasAuthorTheologicalAffiliation
chosen
Indicates that an author is associated with a particular theological tradition, denomination, or belief system.
-
B.
hasTheologicalMethod
Indicates a relationship where a subject employs, follows, or is characterized by a particular theological method or approach to doing theology.
-
C.
hasTheologicalAnalysisComponent
Indicates that something includes or is associated with a component involving theological analysis or examination.
-
D.
writtenByClergyOrTheologian
Indicates that the work or text was authored by a member of the clergy or a professional theologian.
-
E.
hasTheologicalSourceIn
Indicates that something derives its theological basis, authority, or origin from a specified source.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:24 a.m.