Triple
T4906502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharata |
E109923
|
entity |
| Predicate | reactionToKaikeyisBoons |
P59361
|
FINISHED |
| Object | condemnation |
—
|
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: condemnation | Statement: [Bharata, reactionToKaikeyisBoons, condemnation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionToKaikeyisBoons Context triple: [Bharata, reactionToKaikeyisBoons, condemnation]
-
A.
usedBoonsFrom
Indicates that one entity has utilized or expended beneficial effects, powers, or advantages that originated from another entity.
-
B.
roleInKrishnaLife
Indicates the specific role or function an entity plays in the life, activities, or narrative associated with Krishna.
-
C.
miraclePerformedBy
Indicates that a miraculous event is carried out or caused by a particular agent or entity.
-
D.
दोषसिद्धि
Indicates a judicial relationship where an authority formally establishes and declares a person’s guilt for an alleged offense.
-
E.
featuresDeity
Indicates that a work, object, or context prominently includes, depicts, or centers around a particular deity.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e72ed5c819081104c99a398e0af |
completed | March 20, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6cc228088190849f23b7bd4cf549 |
completed | March 20, 2026, 3:50 p.m. |
Created at: March 20, 2026, 1:29 p.m.