Triple
T1715719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian social gospel |
E37284
|
entity |
| Predicate | viewsSinAs |
P12227
|
FINISHED |
| Object | both personal and social |
—
|
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: both personal and social | Statement: [Christian social gospel, viewsSinAs, both personal and social]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsSinAs Context triple: [Christian social gospel, viewsSinAs, both personal and social]
-
A.
viewOnSin
chosen
Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
-
B.
viewOfSin
Indicates a person's attitude, interpretation, or judgment about what constitutes sin or sinful behavior.
-
C.
viewsGraceAs
Indicates that one entity regards or perceives Grace in a particular way or role.
-
D.
viewsAliAs
Indicates that one entity holds a particular perception, opinion, or characterization of Ali.
-
E.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.