Triple

T13416689
Position Surface form Disambiguated ID Type / Status
Subject Antarah ibn Shaddad E313232 entity
Predicate mother P120 FINISHED
Object Zabiba
Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
 E1040179 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: Zabiba | Statement: [Antarah ibn Shaddad, mother, Zabiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zabiba
Context triple: [Antarah ibn Shaddad, mother, Zabiba]
  • 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. Habiba
    Habiba is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, meaning "beloved" or "darling."
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Sabika
    Sabika was the mother of the ninth Shia Imam, Muhammad al-Jawad, and is venerated in Shia tradition for her role in the lineage of the Imams.
  • E. Sajida
    Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
  • 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: Zabiba
Triple: [Antarah ibn Shaddad, mother, Zabiba]
Generated description
Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zabiba
Target entity description: Zabiba was the enslaved Ethiopian woman who became the mother of the famed pre-Islamic Arab poet and warrior Antarah ibn Shaddad.
  • 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. Habiba
    Habiba is a feminine given name commonly used in Arabic-speaking and Muslim-majority cultures, meaning "beloved" or "darling."
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Sabika
    Sabika was the mother of the ninth Shia Imam, Muhammad al-Jawad, and is venerated in Shia tradition for her role in the lineage of the Imams.
  • E. Sajida
    Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73987cc088190839e8a589086639c completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73ab8da1c8190817895a1c8f1fe28 completed May 3, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69f73b1d0a5081909a06a644766e30d2 completed May 3, 2026, 12:10 p.m.
Created at: April 9, 2026, 9:39 p.m.