Triple
T7595995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Profundis |
E179857
|
entity |
| Predicate | relatedToPeriod |
P11533
|
FINISHED |
| Object | Oscar Wilde's fall from social prominence |
—
|
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: Oscar Wilde's fall from social prominence | Statement: [De Profundis, relatedToPeriod, Oscar Wilde's fall from social prominence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToPeriod Context triple: [De Profundis, relatedToPeriod, Oscar Wilde's fall from social prominence]
-
A.
refersToPeriod
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
B.
associatedPeriodEnd
Indicates the ending point or final date of the time period with which something is associated.
-
C.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
D.
personalUnionPeriod
Indicates a time span during which two or more distinct political entities are joined under a single ruler in a personal union.
-
E.
associatedWithTime
chosen
Indicates a relationship where something is linked or connected to a specific point or period in time.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d39e9481908bec42447c97e3f8 |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.