Triple

T5918665
Position Surface form Disambiguated ID Type / Status
Subject Lady of the Arabic Screen E131646 entity
Predicate refersTo P37 FINISHED
Object Faten Hamama E24444 NE 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: Faten Hamama | Statement: [Lady of the Arabic Screen, refersTo, Faten Hamama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faten Hamama
Context triple: [Lady of the Arabic Screen, refersTo, Faten Hamama]
  • A. Faten Hamama chosen
    Faten Hamama was a renowned Egyptian film actress often hailed as the "Lady of the Arabic Screen" and a central figure in the golden age of Egyptian cinema.
  • B. Tahia Kazem
    Tahia Kazem was the wife of Egyptian president Gamal Abdel Nasser and served as Egypt’s First Lady during his tenure from 1956 to 1970.
  • C. Amal Nasser el-Din
    Amal Nasser el-Din is an Israeli Druze politician and community leader known for his advocacy of Druze integration and service within the State of Israel.
  • D. Hamida Mohammad Ali
    Hamida Mohammad Ali was the wife of Pakistani statesman and former Prime Minister Mohammad Ali Bogra.
  • E. Riza Aziz
    Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038003c408190b2a89df0b759dcbf completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63849a59881909e32c0271b4beb51 completed March 27, 2026, 7:56 a.m.
Created at: March 22, 2026, 4 p.m.