Triple
T4186217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakawin Smaradahana |
E88317
|
entity |
| Predicate | narrativeMotif |
P54524
|
FINISHED |
| Object | burning of the god of love |
—
|
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: burning of the god of love | Statement: [Kakawin Smaradahana, narrativeMotif, burning of the god of love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeMotif Context triple: [Kakawin Smaradahana, narrativeMotif, burning of the god of love]
-
A.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
B.
narrativeCycle
Indicates a recurring or structured sequence of narrative events or themes that repeat or progress in a cyclical pattern within a story or across stories.
-
C.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
D.
narrativeConnection
Indicates a meaningful relationship between elements within a narrative, such as events, characters, or scenes, that links them in terms of plot, causality, or thematic continuity.
-
E.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af04b009dc8190abda3f149a5b16fa |
completed | March 9, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69af01935064819096b7619f42e164dd |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af04af4e44819098a9d7f91e65adf2 |
completed | March 9, 2026, 5:34 p.m. |
Created at: March 9, 2026, 3:45 p.m.