Triple
T4814419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purgatorio |
E107151
|
entity |
| Predicate | closingScene |
P38927
|
FINISHED |
| Object | Dante purified and ready to ascend to Heaven |
—
|
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: Dante purified and ready to ascend to Heaven | Statement: [Purgatorio, closingScene, Dante purified and ready to ascend to Heaven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingScene Context triple: [Purgatorio, closingScene, Dante purified and ready to ascend to Heaven]
-
A.
closingSection
Indicates that one entity serves as the concluding or final section of another entity (such as a document, event, or structured sequence).
-
B.
closingTheme
Indicates that one entity serves as the ending or closing theme (such as a song or musical piece) associated with another entity, typically a media work or episode.
-
C.
finalSceneAction
chosen
Indicates the action or event that occurs in the concluding or final scene of a narrative or sequence.
-
D.
closingStimulus
Indicates that one entity serves as the stimulus or trigger that causes another entity to close or become closed.
-
E.
closingSituation
Indicates a situation or context in which an interaction, event, or process is coming to an end or being brought to a close.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.