Triple
T20952007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R v McIlkenny and others |
E516000
|
entity |
| Predicate | timeInPrisonBeforeRelease |
P8398
|
FINISHED |
| Object | about 16 years |
—
|
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: about 16 years | Statement: [R v McIlkenny and others, timeInPrisonBeforeRelease, about 16 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInPrisonBeforeRelease Context triple: [R v McIlkenny and others, timeInPrisonBeforeRelease, about 16 years]
-
A.
servedPrisonTime
Indicates that an entity has spent a period of time incarcerated in prison as a consequence of a legal sentence.
-
B.
durationOfImprisonment
chosen
Indicates the length of time that an entity is or was held in imprisonment.
-
C.
timeOfAuthorImprisonment
Indicates the specific time period during which an author was imprisoned.
-
D.
peakIncarcerationPeriod
Indicates the time period during which incarceration levels for the referenced entity were at their highest.
-
E.
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.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fade4e2c81908ab2619d74fcc5a7 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 1:27 p.m.