Triple

T18496945
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Badie E451972 entity
Predicate nativeName P15 FINISHED
Object محمد بديع
محمد بديع هو مرشد عام سابق لجماعة الإخوان المسلمين في مصر وأحد أبرز قياداتها التاريخية.
 E1327393 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: محمد بديع | Statement: [Mohamed Badie, nativeName, محمد بديع]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: محمد بديع
Context triple: [Mohamed Badie, nativeName, محمد بديع]
  • A. محمود درويش
    محمود درويش هو شاعر فلسطيني بارز يُعد من أهم الأصوات الشعرية العربية المعاصرة، عُرف بقصائده التي تجسد تجربة المنفى والمقاومة والهوية الفلسطينية.
  • B. Mohamed Fayek
    Mohamed Fayek is a human rights expert and former Egyptian official who served as a member of the United Nations International Commission of Inquiry on Darfur.
  • C. Hazem El Masri
    Hazem El Masri is a former Lebanese-Australian rugby league footballer renowned as one of the most prolific and accurate goal-kickers in NRL history.
  • D. Naji Hakim
    Naji Hakim is a renowned Lebanese-French organist and composer celebrated for his virtuosic performances and contemporary sacred music.
  • E. Mohamed Amin Didi
    Mohamed Amin Didi was a prominent Maldivian political leader and reformist who served as the country’s first president and played a key role in modernizing the Maldives in the mid-20th century.
  • 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: محمد بديع
Triple: [Mohamed Badie, nativeName, محمد بديع]
Generated description
محمد بديع هو مرشد عام سابق لجماعة الإخوان المسلمين في مصر وأحد أبرز قياداتها التاريخية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: محمد بديع
Target entity description: محمد بديع هو مرشد عام سابق لجماعة الإخوان المسلمين في مصر وأحد أبرز قياداتها التاريخية.
  • A. محمود درويش
    محمود درويش هو شاعر فلسطيني بارز يُعد من أهم الأصوات الشعرية العربية المعاصرة، عُرف بقصائده التي تجسد تجربة المنفى والمقاومة والهوية الفلسطينية.
  • B. Mohamed Fayek
    Mohamed Fayek is a human rights expert and former Egyptian official who served as a member of the United Nations International Commission of Inquiry on Darfur.
  • C. Hazem El Masri
    Hazem El Masri is a former Lebanese-Australian rugby league footballer renowned as one of the most prolific and accurate goal-kickers in NRL history.
  • D. Naji Hakim
    Naji Hakim is a renowned Lebanese-French organist and composer celebrated for his virtuosic performances and contemporary sacred music.
  • E. Mohamed Amin Didi
    Mohamed Amin Didi was a prominent Maldivian political leader and reformist who served as the country’s first president and played a key role in modernizing the Maldives in the mid-20th century.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c15dec8190941e7c7a4cdebb66 completed April 19, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a047140433481908993cac57195a095 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a047404e3d48190b216f326042c9584 completed May 13, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0474a01e088190bfd475c4d2255bf1 completed May 13, 2026, 12:54 p.m.
Created at: April 10, 2026, 11:36 a.m.