Triple
T24878199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draupadi with strong devotional traits |
E622630
|
entity |
| Predicate | portraysDraupadiAs |
P157770
|
FINISHED |
| Object | exemplar of ideal devotee |
—
|
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: exemplar of ideal devotee | Statement: [Draupadi with strong devotional traits, portraysDraupadiAs, exemplar of ideal devotee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysDraupadiAs Context triple: [Draupadi with strong devotional traits, portraysDraupadiAs, exemplar of ideal devotee]
-
A.
portraysInVikramarjunaVijaya
Indicates that one entity depicts or represents another within the context of the work "Vikramarjuna Vijaya."
-
B.
portraysPurushaAs
Indicates that one entity represents or depicts another entity as Purusha, the cosmic or primordial being.
-
C.
depictsKrishnaAs
Indicates that one entity visually represents or portrays another entity specifically in the form or role of Krishna.
-
D.
portrayalOfGungaDin
Indicates that one entity is a depiction, representation, or performance of the character Gunga Din.
-
E.
roleOfSatyabhama
Indicates that an entity holds or represents the role, position, or character of Satyabhama in a given context or relationship.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 5:24 a.m.