Triple

T22527136
Position Surface form Disambiguated ID Type / Status
Subject الخيط الرفيع E556936 entity
Predicate بطولة P148739 FINISHED
Object مريم فخر الدين 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: مريم فخر الدين | Statement: [الخيط الرفيع, بطولة, مريم فخر الدين]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: مريم فخر الدين
Context triple: [الخيط الرفيع, بطولة, مريم فخر الدين]
  • A. مريم فخر الدين chosen
    مريم فخر الدين هي ممثلة مصرية شهيرة من جيل الخمسينيات والستينيات عُرفت بجمالها الأوروبي وأدوارها الرومانسية في السينما العربية.
  • B. Ruqaia Hasan
    Ruqaia Hasan was a prominent linguist known for her work in systemic functional linguistics, discourse analysis, and the social semiotic study of language.
  • C. Fathia Rizk
    Fathia Rizk, later known as Fathia Nkrumah, was an Egyptian-born First Lady of Ghana and the wife of the country’s first president, Kwame Nkrumah.
  • D. Sherine Khalil
    Sherine Khalil is a person whose given name is associated with the entity Athena.
  • E. Dalia Ziada
    Dalia Ziada is an Egyptian human rights activist, writer, and political analyst known for her prominent role in advocating democracy and civil liberties in the Arab world.
  • 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_69f15ed411488190a51320930b9805c2 completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.