Triple
T26725812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinasena’s Harivamsa Purana |
E673832
|
entity |
| Predicate | viewOfKrishna |
P34529
|
FINISHED |
| Object | Krishna as a great Jain hero |
—
|
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: Krishna as a great Jain hero | Statement: [Jinasena’s Harivamsa Purana, viewOfKrishna, Krishna as a great Jain hero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOfKrishna Context triple: [Jinasena’s Harivamsa Purana, viewOfKrishna, Krishna as a great Jain hero]
-
A.
viewOnGanesha
Indicates a perspective, opinion, or belief that an entity holds regarding Ganesha.
-
B.
depictsKrishnaAs
Indicates that one entity visually represents or portrays another entity specifically in the form or role of Krishna.
-
C.
viewOfGodhead
chosen
Indicates a relationship where an entity holds or expresses a particular understanding, perspective, or doctrinal stance regarding the nature or composition of the Godhead.
-
D.
viewOfAyodhya
Indicates a visual depiction, perspective, or representation showing Ayodhya as the subject or scene.
-
E.
hasViewOnBhakti
Indicates that one entity holds a particular opinion, perspective, or stance regarding Bhakti (devotional practice or devotion).
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 3:42 a.m.