Triple

T5918355
Position Surface form Disambiguated ID Type / Status
Subject فاتن حمامة E131636 entity
Predicate عمل_مع P30363 FINISHED
Object حسن الإمام
حسن الإمام هو مخرج سينمائي مصري بارز عُرف بأفلامه الميلودرامية الشعبية وإخراجه لعدد من كلاسيكيات السينما المصرية في الخمسينيات والستينيات.
 E556938 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: حسن الإمام | Statement: [فاتن حمامة, عمل_مع, حسن الإمام]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: حسن الإمام
Context triple: [فاتن حمامة, عمل_مع, حسن الإمام]
  • A. Imam Muhammad al-Badr
    Imam Muhammad al-Badr was the last ruling imam and king of the Mutawakkilite Kingdom of Yemen, who led royalist forces against republicans during the North Yemen Civil War in the 1960s.
  • B. Hamzah bin Hussein
    Hamzah bin Hussein is a Jordanian prince, the half-brother of King Abdullah II and former crown prince of Jordan.
  • C. Sheikh Obekr
    Sheikh Obekr is a revered religious figure in Yazidism, honored as part of the tradition’s sacred spiritual lineage.
  • D. Sheikh Ibrahim ibn Abdallah
    Sheikh Ibrahim ibn Abdallah was the Arabic alias used by the Swiss explorer and orientalist Johann Ludwig Burckhardt during his travels in the Middle East.
  • E. Imam
    An Imam is a religious leader in Islam who leads prayers and often provides spiritual guidance to the Muslim community.
  • 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: حسن الإمام
Triple: [فاتن حمامة, عمل_مع, حسن الإمام]
Generated description
حسن الإمام هو مخرج سينمائي مصري بارز عُرف بأفلامه الميلودرامية الشعبية وإخراجه لعدد من كلاسيكيات السينما المصرية في الخمسينيات والستينيات.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: حسن الإمام
Target entity description: حسن الإمام هو مخرج سينمائي مصري بارز عُرف بأفلامه الميلودرامية الشعبية وإخراجه لعدد من كلاسيكيات السينما المصرية في الخمسينيات والستينيات.
  • A. Imam Muhammad al-Badr
    Imam Muhammad al-Badr was the last ruling imam and king of the Mutawakkilite Kingdom of Yemen, who led royalist forces against republicans during the North Yemen Civil War in the 1960s.
  • B. Hamzah bin Hussein
    Hamzah bin Hussein is a Jordanian prince, the half-brother of King Abdullah II and former crown prince of Jordan.
  • C. Sheikh Obekr
    Sheikh Obekr is a revered religious figure in Yazidism, honored as part of the tradition’s sacred spiritual lineage.
  • D. Sheikh Ibrahim ibn Abdallah
    Sheikh Ibrahim ibn Abdallah was the Arabic alias used by the Swiss explorer and orientalist Johann Ludwig Burckhardt during his travels in the Middle East.
  • E. Imam
    An Imam is a religious leader in Islam who leads prayers and often provides spiritual guidance to the Muslim community.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c049fdb3e08190a72337ab4f48bc8e completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c033d59481909495192af85307b7 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1bf78908190933360b1099b1444 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c240c3ac8190895c621c3d326bfd completed March 23, 2026, 4:32 a.m.
Created at: March 22, 2026, 3:59 p.m.