Triple
T9965441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fall of the House of Usher (opera) |
E195670
|
entity |
| Predicate | relationshipToSource |
P10690
|
FINISHED |
| Object | retains core plot of Poe’s story |
—
|
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: retains core plot of Poe’s story | Statement: [The Fall of the House of Usher (opera), relationshipToSource, retains core plot of Poe’s story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSource Context triple: [The Fall of the House of Usher (opera), relationshipToSource, retains core plot of Poe’s story]
-
A.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
B.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
C.
termRelationTo
Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
-
D.
laterRelationWith
Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
-
E.
relationToCreation
Indicates the nature of a connection or involvement an entity has with the origin, production, or bringing-into-existence of something.
- 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.