Triple
T18399026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashwini Kumaras |
E449941
|
entity |
| Predicate | typeOfHealing |
P130966
|
FINISHED |
| Object | physical 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: physical healing | Statement: [Ashwini Kumaras, typeOfHealing, physical healing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHealing Context triple: [Ashwini Kumaras, typeOfHealing, physical healing]
-
A.
sacramentOfHealing
Indicates a relationship in which a religious sacrament is administered to bring spiritual or physical healing to a person.
-
B.
typeOfSpirit
Indicates the specific kind or category of spirit (e.g., ghost, demon, angel) that an entity belongs to.
-
C.
viewOnHealing
Indicates a stance, belief, or perspective that an entity holds regarding the nature, process, or principles of healing.
-
D.
spiritualityType
Indicates the specific kind or category of spirituality associated with an entity.
-
E.
typeOfRemedy
Indicates that one entity is a specific kind or category of remedy in relation to another entity.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518499b1481909c5de786c48faeba |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:46 a.m.