Triple

T22526957
Position Surface form Disambiguated ID Type / Status
Subject سيدة القصر E556931 entity
Predicate بطولة P148739 FINISHED
Object شفيق نور 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: شفيق نور الدين | Statement: [سيدة القصر, بطولة, شفيق نور الدين]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: شفيق نور الدين
Context triple: [سيدة القصر, بطولة, شفيق نور الدين]
  • A. Abdel Raouf Dafri
    Abdel Raouf Dafri is a French screenwriter known for his gritty crime dramas and work on acclaimed television series and films.
  • B. Shafiq Nour El Din chosen
    Shafiq Nour El Din was an Egyptian actor known for his roles in mid-20th-century Arabic cinema.
  • C. Abdelghafour Elaaziz
    Abdelghafour Elaaziz is an actor known for his role in the acclaimed Canadian drama film "Incendies," directed by Denis Villeneuve.
  • D. Luttif Afif
    Luttif Afif was a Palestinian militant best known as one of the leaders of the 1972 Munich Olympics hostage-taking and massacre.
  • E. Khairat el-Shater
    Khairat el-Shater is an Egyptian businessman and leading political figure who served as a chief strategist and deputy leader of the Muslim Brotherhood, playing a central role in its post-2011 political rise.
  • 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.