Triple
T975550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When the Saints Go Marching In |
E21043
|
entity |
| Predicate | hasSecularUse |
P22742
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [When the Saints Go Marching In, hasSecularUse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecularUse Context triple: [When the Saints Go Marching In, hasSecularUse, true]
-
A.
hasSecularAspects
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
-
B.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
C.
sacramentalUseOf
Indicates the use of something as a sacrament or within a sacramental religious rite or practice.
-
D.
includesLiturgicalUse
Indicates that something encompasses or involves use within a liturgical or formal religious worship context.
-
E.
liturgicalUseApprovedBy
Indicates that the use of a liturgical text, rite, or practice has been formally authorized or approved by a specified authority.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.