Triple
T4107933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maturidi |
E88499
|
entity |
| Predicate | positionOnGraveSinner |
P54679
|
FINISHED |
| Object | grave sinner remains a believer unless denying fundamentals |
—
|
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: grave sinner remains a believer unless denying fundamentals | Statement: [Maturidi, positionOnGraveSinner, grave sinner remains a believer unless denying fundamentals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnGraveSinner Context triple: [Maturidi, positionOnGraveSinner, grave sinner remains a believer unless denying fundamentals]
-
A.
positionOnEvil
Indicates a stance or viewpoint an entity holds regarding what is considered evil or morally wrong.
-
B.
positionOnDeathPenalty
Indicates a stance or viewpoint an entity holds regarding the use, legality, or morality of the death penalty.
-
C.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
D.
coffinLocation
Indicates the place where a coffin is situated or stored.
-
E.
resurrectionPlace
Indicates the location where an entity is brought back to life or restored from death.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af03d5cce88190ad53bc6cfe10b21e |
completed | March 9, 2026, 5:31 p.m. |
Created at: March 9, 2026, 3:40 p.m.