Triple
T28983912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paumacariu |
E734625
|
entity |
| Predicate | portraysRamaAs |
P136401
|
FINISHED |
| Object | Jain ideal 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: Jain ideal hero | Statement: [Paumacariu, portraysRamaAs, Jain ideal hero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysRamaAs Context triple: [Paumacariu, portraysRamaAs, Jain ideal hero]
-
A.
relationshipWithRama
chosen
Indicates that there exists some form of relationship or association between an entity and Rama.
-
B.
inRamayana
Indicates that the subject participates in, appears within, or is otherwise part of the events or narrative of the Ramayana.
-
C.
depictsKrishnaAs
Indicates that one entity visually represents or portrays another entity specifically in the form or role of Krishna.
-
D.
portraysInVikramarjunaVijaya
Indicates that one entity depicts or represents another within the context of the work "Vikramarjuna Vijaya."
-
E.
relationshipToRama
Indicates the specific familial, social, or other relational connection that an entity has to Rama.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 28, 2026, 9:13 a.m.