Triple
T9194533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Leverkühn |
E220670
|
entity |
| Predicate | allegoricalRole |
P77707
|
FINISHED |
| Object | allegory of moral collapse of Germany |
—
|
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: allegory of moral collapse of Germany | Statement: [Adrian Leverkühn, allegoricalRole, allegory of moral collapse of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegoricalRole Context triple: [Adrian Leverkühn, allegoricalRole, allegory of moral collapse of Germany]
-
A.
allegoricalRoleInInferno
Indicates a symbolic or allegorical function that an entity fulfills within the narrative framework of Dante’s Inferno.
-
B.
allegoricalDomain
Indicates that one entity serves as the abstract or symbolic domain that another entity allegorically represents or refers to.
-
C.
literaryRole
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
D.
allegoricalInterpretation
chosen
Indicates that one entity is interpreted as symbolically representing deeper, often moral or spiritual, meanings within another entity (such as a text, image, or event).
-
E.
moralNarrativeRole
Indicates the role an entity plays within a moral storyline or ethical framing, such as being portrayed as virtuous, villainous, victimized, or morally ambiguous.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c3614c81909e26417e00fdfa11 |
completed | April 1, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:25 p.m.