Triple
T2362921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unction of the Sick |
E47314
|
entity |
| Predicate | seeksEffect |
P34994
|
FINISHED |
| Object | spiritual healing |
—
|
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: spiritual healing | Statement: [Unction of the Sick, seeksEffect, spiritual healing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksEffect Context triple: [Unction of the Sick, seeksEffect, spiritual healing]
-
A.
soughtTo
chosen
Indicates that one entity attempted or intended to obtain, achieve, or bring about another entity or outcome.
-
B.
sees
Indicates that one entity visually perceives or observes another entity.
-
C.
seeksToShape
Indicates an entity’s intention or effort to influence, mold, or determine the form, direction, or outcome of another entity or situation.
-
D.
isSeeOf
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
-
E.
specialEffectsBy
Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc74501388190adce9b3e51a03ded |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc599b92c819093d9e15d4437705d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:55 p.m.