Triple

T16535757
Position Surface form Disambiguated ID Type / Status
Subject Zubayda bint Jaʿfar E401684 entity
Predicate title P38 FINISHED
Object Zubayda
Zubayda was a prominent Abbasid princess and influential patron of public works, especially known for funding major infrastructure projects like the water system serving pilgrims on the route to Mecca.
E1217861 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: Zubayda | Statement: [Zubayda bint Jaʿfar, title, Zubayda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zubayda
Context triple: [Zubayda bint Jaʿfar, title, Zubayda]
  • A. Zaynab bint Mazun
    Zaynab bint Mazun was an early Muslim woman from the first generation of Islam, known primarily as the mother of Hafsa bint Umar, one of the wives of the Prophet Muhammad.
  • 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. Hafsa
    Hafsa is a feminine given name of Arabic origin, historically borne by notable Ottoman royal figures such as Ayşe Hafsa Sultan.
  • D. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • E. Kamilah
    Kamilah is a musical artist known for being featured on the track "Unpredictable."
  • 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: Zubayda
Triple: [Zubayda bint Jaʿfar, title, Zubayda]
Generated description
Zubayda was a prominent Abbasid princess and influential patron of public works, especially known for funding major infrastructure projects like the water system serving pilgrims on the route to Mecca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zubayda
Target entity description: Zubayda was a prominent Abbasid princess and influential patron of public works, especially known for funding major infrastructure projects like the water system serving pilgrims on the route to Mecca.
  • A. Zaynab bint Mazun
    Zaynab bint Mazun was an early Muslim woman from the first generation of Islam, known primarily as the mother of Hafsa bint Umar, one of the wives of the Prophet Muhammad.
  • 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. Hafsa
    Hafsa is a feminine given name of Arabic origin, historically borne by notable Ottoman royal figures such as Ayşe Hafsa Sultan.
  • D. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • E. Kamilah
    Kamilah is a musical artist known for being featured on the track "Unpredictable."
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e345574d88819094548367bf983078 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006094dee481908757b84c10d0dc19 completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a0060eca9fc81908f376cd2f7219bcd completed May 10, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_6a00622f44ec8190a7d66c7882ae28b2 completed May 10, 2026, 10:47 a.m.
Created at: April 10, 2026, 5:15 a.m.