Triple
T22526188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صفوت الشريف |
E556909
|
entity |
| Predicate | فترة السجن |
P8398
|
FINISHED |
| Object | سجن على ذمة قضايا فساد بعد 2011 |
—
|
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: سجن على ذمة قضايا فساد بعد 2011 | Statement: [صفوت الشريف, فترة السجن, سجن على ذمة قضايا فساد بعد 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: فترة السجن Context triple: [صفوت الشريف, فترة السجن, سجن على ذمة قضايا فساد بعد 2011]
-
A.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
-
B.
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.
-
C.
durationOfImprisonment
chosen
Indicates the length of time that an entity is or was held in imprisonment.
-
D.
servedPrisonTime
Indicates that an entity has spent a period of time incarcerated in prison as a consequence of a legal sentence.
-
E.
peakIncarcerationPeriod
Indicates the time period during which incarceration levels for the referenced entity were at their highest.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:51 p.m.