Triple
T22527018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نهر الحب |
E556932
|
entity |
| Predicate | حقبة العرض الأولى |
P21468
|
FINISHED |
| Object | بدايات الستينيات في دور العرض المصرية |
—
|
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: بدايات الستينيات في دور العرض المصرية | Statement: [نهر الحب, حقبة العرض الأولى, بدايات الستينيات في دور العرض المصرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: حقبة العرض الأولى Context triple: [نهر الحب, حقبة العرض الأولى, بدايات الستينيات في دور العرض المصرية]
-
A.
firstPerformanceEra
chosen
Indicates the time period during which an entity’s earliest known performance or debut took place.
-
B.
תקופת חיים משוערת
Indicates an estimated or approximate time period during which the entity existed or was alive.
-
C.
firstStageAdaptationYear
Indicates the year in which a work was first adapted into a stage production.
-
D.
بني في عهد
Indicates that something was constructed during the reign or rule of a particular person or authority.
-
E.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.