Triple

T22658114
Position Surface form Disambiguated ID Type / Status
Subject كمال الشيخ E559285 entity
Predicate الاسم الكامل P16 FINISHED
Object كمال الشيخ NE NERFINISHED

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: كمال الشيخ | Statement: [كمال الشيخ, الاسم الكامل, كمال الشيخ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: كمال الشيخ
Context triple: [كمال الشيخ, الاسم الكامل, كمال الشيخ]
  • A. كمال الشيخ chosen
    كمال الشيخ هو مخرج سينمائي مصري بارز عُرف بأفلامه الكلاسيكية وإسهامه في تطوير لغة الإخراج في السينما المصرية.
  • B. Kamal Khan
    Kamal Khan is the primary villain and exiled Afghan prince in the James Bond film "Octopussy," known for his role in a nuclear extortion plot against the West.
  • C. كمال الشاذلي
    كمال الشاذلي سياسي مصري بارز شغل لسنوات طويلة مناصب قيادية في البرلمان والحكومة وكان من أبرز رموز الحياة النيابية في مصر قبل 2011.
  • D. Karim Ahmad Khan
    Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
  • E. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 17, 2026, 3:07 p.m.