Triple

T22313877
Position Surface form Disambiguated ID Type / Status
Subject Shadi Abdel Salam E551591 entity
Predicate name P16 FINISHED
Object Shadi Abdel Salam 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: Shadi Abdel Salam | Statement: [Shadi Abdel Salam, name, Shadi Abdel Salam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadi Abdel Salam
Context triple: [Shadi Abdel Salam, name, Shadi Abdel Salam]
  • A. Shadi Abdel Salam chosen
    Shadi Abdel Salam was a pioneering Egyptian film director, screenwriter, and costume designer best known for his visually striking, historically themed masterpiece "The Night of Counting the Years" (Al-Mummia).
  • B. Sarvath El Hassan
    Sarvath El Hassan is a Jordanian princess known for her philanthropic work, particularly in education and social development initiatives.
  • C. Nabil Swelim
    Nabil Swelim is an Egyptian archaeologist and Egyptologist known for his excavations and research on Old Kingdom pyramid complexes and necropoleis.
  • D. Hani Salaam
    Hani Salaam is a high-ranking and sophisticated Jordanian intelligence chief featured in the espionage thriller "Body of Lies."
  • E. Adel Emam
    Adel Emam is a legendary Egyptian actor and comedian widely regarded as one of the most influential and beloved stars in the Arab world's film and television industry.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15751bf208190b8938a00d1afd157 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.