Triple

T13130937
Position Surface form Disambiguated ID Type / Status
Subject Alaa Al Aswany E311964 entity
Predicate name P16 FINISHED
Object Alaa Al Aswany E311964 NE FINISHED

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: Alaa Al Aswany | Statement: [Alaa Al Aswany, name, Alaa Al Aswany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alaa Al Aswany
Context triple: [Alaa Al Aswany, name, Alaa Al Aswany]
  • A. Alaa Al Aswany chosen
    Alaa Al Aswany is a prominent contemporary Egyptian novelist and columnist best known internationally for his critically acclaimed novel "The Yacoubian Building."
  • B. Asmaa Mahfouz
    Asmaa Mahfouz is an Egyptian activist and prominent figure of the 2011 Egyptian revolution, known for her influential online video that helped spark mass protests in Cairo’s Tahrir Square.
  • 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. Reda Kateb
    Reda Kateb is a French actor known for his intense, nuanced performances in both French and international films, including acclaimed roles in works like "A Prophet" and "Zero Dark Thirty."
  • E. Magda al-Sabahi
    Magda al-Sabahi was a prominent Egyptian film actress and producer, celebrated as one of the leading stars of classic Egyptian cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b27a8c81909a92ab7be5d3a7e9 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e290c308819090ee4436c199b57c completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.