Triple
T9965414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fall of the House of Usher (opera) |
E195670
|
entity |
| Predicate | typicalStagingFocus |
P35532
|
FINISHED |
| Object | atmosphere of decay |
—
|
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: atmosphere of decay | Statement: [The Fall of the House of Usher (opera), typicalStagingFocus, atmosphere of decay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStagingFocus Context triple: [The Fall of the House of Usher (opera), typicalStagingFocus, atmosphere of decay]
-
A.
stage4Focus
Indicates that something is the primary subject of attention or emphasis during the fourth stage of a multi-stage process or progression.
-
B.
stageOf
Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
-
C.
stagingStyle
chosen
Indicates how an event, performance, or scene is arranged, presented, or visually organized in a given context.
-
D.
stage4Type
Indicates that one entity is classified as a specific type or subtype within the fourth stage of a defined multi-stage process or system.
-
E.
coreStageType
Indicates the specific kind or classification of a core stage within a larger process, system, or lifecycle.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71c38488190a6f3cda11994f6a2 |
completed | April 2, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:47 p.m.