Triple

T13130939
Position Surface form Disambiguated ID Type / Status
Subject Alaa Al Aswany E311964 entity
Predicate familyName P18 FINISHED
Object 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: Al Aswany | Statement: [Alaa Al Aswany, familyName, Al Aswany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Aswany
Context triple: [Alaa Al Aswany, familyName, 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. 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."
  • C. Nabil Amer
    Nabil Amer is a person notable enough to be recognized as a namesake of the surname Amer.
  • D. Abdel Moneim El-Sawy
    Abdel Moneim El-Sawy was an Egyptian intellectual and cultural figure whose legacy in promoting arts and culture is commemorated by Cairo’s prominent El Sawy Culturewheel center.
  • E. Abdelhalim Nasr
    Abdelhalim Nasr was a cinematographer known for his work on the Egyptian film "The Sin" and contributions to mid-20th-century Arab 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_69f6eae08a148190af391d173f25b714 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:07 p.m.