Triple

T22982162
Position Surface form Disambiguated ID Type / Status
Subject Magda al-Sabahi E571496 entity
Predicate name P16 FINISHED
Object Magda al-Sabahi 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: Magda al-Sabahi | Statement: [Magda al-Sabahi, name, Magda al-Sabahi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magda al-Sabahi
Context triple: [Magda al-Sabahi, name, Magda al-Sabahi]
  • A. Magda al-Sabahi chosen
    Magda al-Sabahi was a prominent Egyptian film actress and producer, celebrated as one of the leading stars of classic Egyptian cinema.
  • B. Soheir El Bably
    Soheir El Bably was a celebrated Egyptian actress renowned for her comedic and dramatic roles on stage, television, and in film, making her one of the most beloved figures in modern Egyptian entertainment.
  • C. Arefa Naguib
    Arefa Naguib was the wife of Egypt’s first President, Mohamed Naguib, and thus served as Egypt’s inaugural First Lady after the 1952 revolution.
  • D. Fadwa Tuqan
    Fadwa Tuqan was a prominent Palestinian poet known for her lyrical exploration of national identity, resistance, and the female experience in Arab society.
  • E. Mervat Amin
    Mervat Amin is a prominent Egyptian film and television actress known for her leading roles in Arabic cinema since the 1970s.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829645f88190aea1b96ea595ff60 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.