Triple
T27785619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HM Prison Reading |
E700950
|
entity |
| Predicate | WildeImprisonmentEnd |
P13647
|
FINISHED |
| Object | 1897 |
—
|
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: 1897 | Statement: [HM Prison Reading, WildeImprisonmentEnd, 1897]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WildeImprisonmentEnd Context triple: [HM Prison Reading, WildeImprisonmentEnd, 1897]
-
A.
dateOfImprisonmentEnd
chosen
Indicates the date on which an entity’s period of imprisonment or incarceration comes to an end.
-
B.
timeOfAuthorImprisonment
Indicates the specific time period during which an author was imprisoned.
-
C.
dateOfExoneration
Indicates the date on which an entity was officially cleared of blame, guilt, or conviction.
-
D.
imprisonedFor
Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
-
E.
eventuallyParoled
Indicates that an individual who was previously incarcerated was later released from prison on parole.
- 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_69ef6a50d8088190acbf3dfbb06d8091 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:24 p.m.