Triple
T22658084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | يوسف والي |
E559283
|
entity |
| Predicate | ظهر في |
P92249
|
FINISHED |
| Object | وسائل الإعلام المصرية كوجه قيادي للحزب الوطني |
—
|
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: وسائل الإعلام المصرية كوجه قيادي للحزب الوطني | Statement: [يوسف والي, ظهر في, وسائل الإعلام المصرية كوجه قيادي للحزب الوطني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ظهر في Context triple: [يوسف والي, ظهر في, وسائل الإعلام المصرية كوجه قيادي للحزب الوطني]
-
A.
appearedWith
Indicates that two entities were present or participated together in the same context, event, or medium.
-
B.
appearedAt
chosen
Indicates that an entity was present or made an appearance at a specific event, location, or occasion.
-
C.
tvShowAppearance
Indicates that an entity appears or participates in a particular television show.
-
D.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
-
E.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765d10588190b4574f3e64617cd4 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.