Triple
T34085500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shravana Putrada Ekadashi |
E874165
|
entity |
| Predicate | legendTheme |
P11062
|
FINISHED |
| Object | atonement for past sins causing childlessness |
—
|
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: atonement for past sins causing childlessness | Statement: [Shravana Putrada Ekadashi, legendTheme, atonement for past sins causing childlessness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legendTheme Context triple: [Shravana Putrada Ekadashi, legendTheme, atonement for past sins causing childlessness]
-
A.
legend
chosen
Indicates that an entity is a traditional or historical story, figure, or narrative widely regarded as legendary rather than strictly factual.
-
B.
legendStatus
Indicates that an entity holds, is assigned, or is associated with a particular legend-related status or classification.
-
C.
graphicsTheme
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
-
D.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
-
E.
indicatorTheme
Indicates that something serves as a thematic indicator or signal for a particular topic, concept, or condition.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c0bd8f081908cf39e9ba9919c51 |
completed | May 3, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.