Triple

T11640982
Position Surface form Disambiguated ID Type / Status
Subject Ghada Fathi Waly E276658 entity
Predicate givenName P17 FINISHED
Object Ghada
Ghada is a feminine given name of Arabic origin commonly used across the Arab world.
 E937483 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: Ghada | Statement: [Ghada Fathi Waly, givenName, Ghada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ghada
Context triple: [Ghada Fathi Waly, givenName, Ghada]
  • A. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • B. Basma
    Basma is a feminine given name commonly used in Arabic-speaking countries, meaning "smile."
  • C. Juhayna
    Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
  • D. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • E. Suhaila
    Suhaila is the young girl protagonist of the children's book "Ladder to the Moon," who embarks on a magical, intergenerational journey with her grandmother to explore themes of compassion and connection.
  • 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: Ghada
Triple: [Ghada Fathi Waly, givenName, Ghada]
Generated description
Ghada is a feminine given name of Arabic origin commonly used across the Arab world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ghada
Target entity description: Ghada is a feminine given name of Arabic origin commonly used across the Arab world.
  • A. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • B. Basma
    Basma is a feminine given name commonly used in Arabic-speaking countries, meaning "smile."
  • C. Juhayna
    Juhayna is a town in Egypt’s Sohag Governorate, located in Upper Egypt along the Nile Valley.
  • D. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • E. Suhaila
    Suhaila is the young girl protagonist of the children's book "Ladder to the Moon," who embarks on a magical, intergenerational journey with her grandmother to explore themes of compassion and connection.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a260ab488190ab1c00d9850f3096 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87deb3888190842bd61efd7b3989 completed April 26, 2026, 9:47 p.m.
NEDg Description generation batch_69eeb31438f88190bab71212293f2d2e completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd954b348190bf2f3ad66acbf1b7 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.