Triple
T16868842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 Corinthians 1 |
E410114
|
entity |
| Predicate | quotesScripture |
P3661
|
FINISHED |
| Object | I will destroy the wisdom of the wise |
—
|
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: I will destroy the wisdom of the wise | Statement: [1 Corinthians 1, quotesScripture, I will destroy the wisdom of the wise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotesScripture Context triple: [1 Corinthians 1, quotesScripture, I will destroy the wisdom of the wise]
-
A.
scriptureFor
Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
-
B.
scriptureFocus
Indicates that something centers on, emphasizes, or is primarily concerned with religious scripture or sacred texts.
-
C.
sharesScriptureWith
Indicates that one entity communicates or distributes religious or scriptural texts to another entity.
-
D.
scripturalReference
chosen
Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in another entity.
-
E.
inScripture
Indicates that something is mentioned, described, or referenced within a scriptural or sacred text.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50a82348190b3e33fd558aa3c7f |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.