Triple
T32838560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد فوزي |
E839900
|
entity |
| Predicate | أثر_في |
P158761
|
FINISHED |
| Object | تطوير الموسيقى العربية الحديثة |
—
|
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: تطوير الموسيقى العربية الحديثة | Statement: [محمد فوزي, أثر_في, تطوير الموسيقى العربية الحديثة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أثر_في Context triple: [محمد فوزي, أثر_في, تطوير الموسيقى العربية الحديثة]
-
A.
اثر
Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
-
B.
اثر
chosen
Indicates that one entity has an effect, influence, or impact on another entity.
-
C.
أثر_علمي
Indicates a scientific impact or influence that one entity (such as a work, researcher, or discovery) has on another within the scientific or academic domain.
-
D.
عبد_فيها
Indicates that an entity worships, serves, or shows devoted obedience within or in the context of something (e.g., a place, system, or situation).
-
E.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
- 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.