Triple
T7539725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinon |
E178242
|
entity |
| Predicate | allegoricalInterpretation |
P77707
|
FINISHED |
| Object | symbol of false eloquence |
—
|
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: symbol of false eloquence | Statement: [Sinon, allegoricalInterpretation, symbol of false eloquence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegoricalInterpretation Context triple: [Sinon, allegoricalInterpretation, symbol of false eloquence]
-
A.
allegoricalDomain
Indicates that one entity serves as the abstract or symbolic domain that another entity allegorically represents or refers to.
-
B.
politicalAllegoryFor
Indicates that one entity symbolically represents or critiques another entity, event, or system within a political context.
-
C.
hasAllegoricalDepictionsBy
Indicates that one entity is represented through allegorical depictions created by another entity.
-
D.
hasAllegoricalFigures
Indicates that a work, scene, or element includes figures that symbolically represent abstract ideas, concepts, or moral qualities.
-
E.
hasCulturalInterpretation
Indicates that something is understood, represented, or given meaning within a particular cultural context or tradition.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f87280f0819097d4ffc2e1b62cf8 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:48 p.m.