Triple
T10259354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indulgences in the Catholic Church |
E240553
|
entity |
| Predicate | cannotBeAppliedTo |
P73176
|
FINISHED |
| Object | other living persons by proxy |
—
|
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: other living persons by proxy | Statement: [Indulgences in the Catholic Church, cannotBeAppliedTo, other living persons by proxy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotBeAppliedTo Context triple: [Indulgences in the Catholic Church, cannotBeAppliedTo, other living persons by proxy]
-
A.
doNotApplyTo
chosen
Indicates that something is excluded from affecting, covering, or being relevant to a specified target or case.
-
B.
cannotBeUsedWithout
Indicates that one entity is dependent on another such that it cannot function, operate, or be utilized unless the other entity is also present or in use.
-
C.
cannotBeAwardedTo
Indicates that a particular entity is ineligible to receive a specified award, prize, or recognition.
-
D.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
E.
doesNotGenerallyApplyTo
Indicates that a rule, property, or condition is typically not relevant or applicable to the referenced entity or situation in most cases.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:32 a.m.