Triple
T4520058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Story of Shakuntala |
E103243
|
entity |
| Predicate | centralPlot |
P21187
|
FINISHED |
| Object | love between Shakuntala and King Dushyanta |
—
|
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: love between Shakuntala and King Dushyanta | Statement: [Story of Shakuntala, centralPlot, love between Shakuntala and King Dushyanta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralPlot Context triple: [Story of Shakuntala, centralPlot, love between Shakuntala and King Dushyanta]
-
A.
centralPlotDevice
chosen
Indicates that one entity functions as the main narrative mechanism or element around which the plot of the other entity is structured.
-
B.
centralMystery
Indicates that something serves as the primary unresolved question or puzzle around which a narrative, situation, or investigation is structured.
-
C.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
D.
centralWork
Indicates that a particular work is the primary, most important, or focal work associated with an entity or context.
-
E.
allegedPlots
Indicates that one entity is accused or suspected of planning or conspiring to carry out harmful or illicit actions involving another entity.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5747e90c81908fa112ecace699a9 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.