Triple

T22526784
Position Surface form Disambiguated ID Type / Status
Subject عمر الشريف E556924 entity
Predicate العمل مع P97828 FINISHED
Object الممثلة فاتن حمامة 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: الممثلة فاتن حمامة | Statement: [عمر الشريف, العمل مع, الممثلة فاتن حمامة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: الممثلة فاتن حمامة
Context triple: [عمر الشريف, العمل مع, الممثلة فاتن حمامة]
  • A. فاتن حمامة chosen
    فاتن حمامة هي ممثلة مصرية شهيرة لُقبت بـ"سيدة الشاشة العربية" وتُعد من أبرز نجمات السينما في العالم العربي في القرن العشرين.
  • B. Nargis Fakhri
    Nargis Fakhri is an American-born actress and model of Pakistani-Czech descent who gained prominence in Indian cinema with her debut in the film "Rockstar."
  • C. Faten Hamama
    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.
  • D. Hani Nassar
    Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
  • E. Fatimah el-Sharif
    Fatimah el-Sharif was the Queen consort of Libya as the wife of King Idris I and a member of the prominent Senussi family.
  • 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed352b48190a96ef2896f2978cd completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.