Triple
T4520022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savitrī and Satyavan |
E103242
|
entity |
| Predicate | plotPoint |
P2762
|
FINISHED |
| Object | Savitrī chooses Satyavan as her husband despite a prophecy of his early death |
—
|
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: Savitrī chooses Satyavan as her husband despite a prophecy of his early death | Statement: [Savitrī and Satyavan, plotPoint, Savitrī chooses Satyavan as her husband despite a prophecy of his early death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plotPoint Context triple: [Savitrī and Satyavan, plotPoint, Savitrī chooses Satyavan as her husband despite a prophecy of his early death]
-
A.
plotElement
chosen
Indicates that one entity functions as a narrative component or structural element within the storyline of another entity (such as a work of fiction or media).
-
B.
points
Indicates that one entity directs attention, focus, or a physical/abstract indication toward another entity or location.
-
C.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
-
D.
pointDefinition
Indicates that one entity serves as the defining description or specification of a particular point in another entity.
-
E.
KPoint
Indicates a relationship where a specific point is designated or identified as a key or reference point within a spatial or geometric context.
- 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.