Triple

T8785014
Position Surface form Disambiguated ID Type / Status
Subject Asmaa Mahfouz E209022 entity
Predicate givenName P17 FINISHED
Object Asmaa
Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
 E757412 NE FINISHED

How this triple was built (4 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 | Statement: [Asmaa Mahfouz, givenName, Asmaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asmaa
Context triple: [Asmaa Mahfouz, givenName, Asmaa]
  • A. Amina
    Amina is the gentle, devout, and sheltered matriarch at the heart of Naguib Mahfouz’s novel "Palace Walk," embodying traditional family values in early 20th-century Cairo.
  • B. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • C. Habiba
    Habiba is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, meaning "beloved" or "darling."
  • D. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • E. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Asmaa
Triple: [Asmaa Mahfouz, givenName, Asmaa]
Generated description
Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asmaa
Target entity description: Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
  • A. Amina
    Amina is the gentle, devout, and sheltered matriarch at the heart of Naguib Mahfouz’s novel "Palace Walk," embodying traditional family values in early 20th-century Cairo.
  • B. Maryam
    Maryam is a revered figure in Islam, honored in the Qur’an as the mother of Prophet Isa (Jesus) and a model of piety and devotion.
  • C. Habiba
    Habiba is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, meaning "beloved" or "darling."
  • D. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • E. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69cf55ec47f88190878724c4245410de completed April 3, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69cf5679f85c8190aebb19ad364fe202 completed April 3, 2026, 5:56 a.m.
Created at: March 30, 2026, 6:42 p.m.