Triple
T8879842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد البرادعي |
E211380
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
ليلى البرادعي
ليلى البرادعي هي ابنة الدبلوماسي المصري الحائز على جائزة نوبل للسلام محمد البرادعي.
|
E765533
|
NE FINISHED |
How this triple was built (4 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: ليلى البرادعي | Statement: [محمد البرادعي, hasChild, ليلى البرادعي]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ليلى البرادعي Context triple: [محمد البرادعي, hasChild, ليلى البرادعي]
-
A.
عزة البرادعي
عزة البرادعي هي زوجة الدبلوماسي المصري البارز والحائز على جائزة نوبل للسلام محمد البرادعي.
-
B.
Zeinab Saad el-Shazly
Zeinab Saad el-Shazly was the wife of prominent Egyptian military commander and former Chief of Staff Saad el-Shazly.
-
C.
Dalia Ziada
Dalia Ziada is an Egyptian human rights activist, writer, and political analyst known for her prominent role in advocating democracy and civil liberties in the Arab world.
-
D.
Shereen Reda
Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
-
E.
Ghada Fathi Waly
Ghada Fathi Waly is an Egyptian politician and diplomat who serves as a senior United Nations official specializing in crime prevention, drug control, and related international development issues.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ليلى البرادعي Triple: [محمد البرادعي, hasChild, ليلى البرادعي]
Generated description
ليلى البرادعي هي ابنة الدبلوماسي المصري الحائز على جائزة نوبل للسلام محمد البرادعي.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ليلى البرادعي Target entity description: ليلى البرادعي هي ابنة الدبلوماسي المصري الحائز على جائزة نوبل للسلام محمد البرادعي.
-
A.
عزة البرادعي
عزة البرادعي هي زوجة الدبلوماسي المصري البارز والحائز على جائزة نوبل للسلام محمد البرادعي.
-
B.
Zeinab Saad el-Shazly
Zeinab Saad el-Shazly was the wife of prominent Egyptian military commander and former Chief of Staff Saad el-Shazly.
-
C.
Dalia Ziada
Dalia Ziada is an Egyptian human rights activist, writer, and political analyst known for her prominent role in advocating democracy and civil liberties in the Arab world.
-
D.
Shereen Reda
Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
-
E.
Ghada Fathi Waly
Ghada Fathi Waly is an Egyptian politician and diplomat who serves as a senior United Nations official specializing in crime prevention, drug control, and related international development issues.
- F. None of above. chosen
Provenance (5 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61677c9c8190aa09dc2a05d4cf95 |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba1809dc81909776f1268cae9004 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbacea9408190a38f14817437c382 |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb6235148190850865a734d55a6c |
completed | April 3, 2026, 1:06 p.m. |
Created at: March 30, 2026, 6:52 p.m.