Triple
T8567804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leap of Faith |
E202849
|
entity |
| Predicate | hasSpiritualElement |
P6456
|
FINISHED |
| Object | religious imagery |
—
|
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: religious imagery | Statement: [Leap of Faith, hasSpiritualElement, religious imagery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpiritualElement Context triple: [Leap of Faith, hasSpiritualElement, religious imagery]
-
A.
hasSpiritualDimension
chosen
Indicates that something possesses or involves a non-material, spiritual, or transcendent aspect or quality.
-
B.
hasRitualElements
Indicates that one entity incorporates, contains, or is characterized by ritualistic components, practices, or features associated with formalized ceremonies or rites.
-
C.
hasSpiritualHead
Indicates that one entity serves as the primary religious or spiritual leader or authority for another entity.
-
D.
containsSupernaturalElement
Indicates that the subject involves or features a supernatural, magical, or otherworldly element beyond normal natural laws.
-
E.
hasSpiritualSource
Indicates that something originates from, is derived from, or is fundamentally grounded in a spiritual or non-material 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d5d4ac8190a4d74c88b872d0b7 |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:21 p.m.