Triple

T2768038
Position Surface form Disambiguated ID Type / Status
Subject Sajida Talfah E61382 entity
Predicate givenName P17 FINISHED
Object Sajida
Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
 E297140 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: Sajida | Statement: [Sajida Talfah, givenName, Sajida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sajida
Context triple: [Sajida Talfah, givenName, Sajida]
  • A. 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.
  • B. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • C. Hamida
    Hamida is a central, ambitious young woman in Naguib Mahfouz’s novel "Midaq Alley," whose desire to escape poverty and traditional constraints drives much of the story’s conflict.
  • D. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • E. Habiba
    Habiba is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, meaning "beloved" or "darling."
  • 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: Sajida
Triple: [Sajida Talfah, givenName, Sajida]
Generated description
Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sajida
Target entity description: Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
  • A. 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.
  • B. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • C. Hamida
    Hamida is a central, ambitious young woman in Naguib Mahfouz’s novel "Midaq Alley," whose desire to escape poverty and traditional constraints drives much of the story’s conflict.
  • D. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • E. Habiba
    Habiba is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, meaning "beloved" or "darling."
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd667c4881909aa582c630c8e3ab completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04b59448190b51ce14f19bd3381 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0e092848190889e85f017a7832c completed March 10, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69afc159d0908190b4afe1a6b122076e completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.