Triple
T4782892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hari |
E106406
|
entity |
| Predicate | associatedMantra |
P21327
|
FINISHED |
| Object | Hare Krishna mantra |
—
|
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: Hare Krishna mantra | Statement: [Hari, associatedMantra, Hare Krishna mantra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMantra Context triple: [Hari, associatedMantra, Hare Krishna mantra]
-
A.
associatedDevotion
Indicates a relationship where one entity is linked to or characterized by a particular devotion, dedication, or religious/spiritual practice connected to another entity.
-
B.
associatedUpanishad
Indicates a relationship where something is linked or connected to a particular Upanishad as its source, reference, or context.
-
C.
associatedPrayer
chosen
Indicates a relationship where a specific prayer is linked or connected to another entity, such as an event, object, person, or religious context.
-
D.
associatedSpirit
Indicates a relationship where one entity is linked to or accompanied by a particular spirit, often as a guide, protector, or defining supernatural presence.
-
E.
meditationSubject
Indicates that one entity is the topic, focus, or object upon which another entity meditates.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.