Triple
T32838500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مفدي زكريا |
E839899
|
entity |
| Predicate | فترة_النشاط_الأدبي |
P47065
|
FINISHED |
| Object | منتصف القرن العشرين |
—
|
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: منتصف القرن العشرين | Statement: [مفدي زكريا, فترة_النشاط_الأدبي, منتصف القرن العشرين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: فترة_النشاط_الأدبي Context triple: [مفدي زكريا, فترة_النشاط_الأدبي, منتصف القرن العشرين]
-
A.
activeYearsInLiterature
chosen
Indicates the span of years during which an entity was actively producing or contributing to literary works.
-
B.
literaryPeriodOfWork
Indicates the literary period or movement to which a particular work belongs.
-
C.
notableWorkPeriod
Indicates the time span during which an entity produced or was associated with its most significant or well-known works.
-
D.
workPeriodOfAuthorDescribed
Indicates that the time period during which an author was active or produced work is being described.
-
E.
literaryPeriodOfSubject
Indicates the literary period or movement with which the subject is associated.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.