Triple

T8785013
Position Surface form Disambiguated ID Type / Status
Subject Asmaa Mahfouz E209022 entity
Predicate name P16 FINISHED
Object Asmaa Mahfouz E209022 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: Asmaa Mahfouz | Statement: [Asmaa Mahfouz, name, Asmaa Mahfouz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asmaa Mahfouz
Context triple: [Asmaa Mahfouz, name, Asmaa Mahfouz]
  • A. Asmaa Mahfouz chosen
    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.
  • B. Alaa Al Aswany
    Alaa Al Aswany is a prominent contemporary Egyptian novelist and columnist best known internationally for his critically acclaimed novel "The Yacoubian Building."
  • C. 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.
  • D. Saray El-Qobba
    Saray El-Qobba is a metro station in Cairo, Egypt, located in the Heliopolis area and integrated into the city's primary urban rail network.
  • E. Zeinab Saad el-Shazly
    Zeinab Saad el-Shazly was the wife of prominent Egyptian military commander and former Chief of Staff Saad el-Shazly.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f7441e8819081ea0ae7bc2afde7 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51fded4c81909725807e4855c4a2 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:42 p.m.