Triple

T10547728
Position Surface form Disambiguated ID Type / Status
Subject Qusta ibn Luqa E248865 entity
Predicate nameInArabic P6450 FINISHED
Object قسطا بن لوقا
قسطا بن لوقا هو عالم ومترجم سرياني-عربي من القرن التاسع الميلادي برع في الفلسفة والطب والرياضيات وأسهم في نقل العلوم اليونانية إلى العالم الإسلامي.
 E870092 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: قسطا بن لوقا | Statement: [Qusta ibn Luqa, nameInArabic, قسطا بن لوقا]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: قسطا بن لوقا
Context triple: [Qusta ibn Luqa, nameInArabic, قسطا بن لوقا]
  • A. Matthaeus
    Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
  • B. Marcellino
    Marcellino is an Italian given name, typically used as a diminutive or affectionate form of Marcello.
  • C. Atanacio
    Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
  • D. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • E. Estevão
    Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
  • 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: قسطا بن لوقا
Triple: [Qusta ibn Luqa, nameInArabic, قسطا بن لوقا]
Generated description
قسطا بن لوقا هو عالم ومترجم سرياني-عربي من القرن التاسع الميلادي برع في الفلسفة والطب والرياضيات وأسهم في نقل العلوم اليونانية إلى العالم الإسلامي.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: قسطا بن لوقا
Target entity description: قسطا بن لوقا هو عالم ومترجم سرياني-عربي من القرن التاسع الميلادي برع في الفلسفة والطب والرياضيات وأسهم في نقل العلوم اليونانية إلى العالم الإسلامي.
  • A. Matthaeus
    Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
  • B. Marcellino
    Marcellino is an Italian given name, typically used as a diminutive or affectionate form of Marcello.
  • C. Atanacio
    Atanacio is the Spanish given name of Hall of Fame Cuban-American baseball player Tony Pérez.
  • D. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • E. Estevão
    Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d20ef48190ab9f70d4ce5f2a11 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93457af7c819090f576ae606c5849 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c8b25c8190bb048053d8668e5c completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d939b1844881908c8fbcb9488863f6 completed April 10, 2026, 5:56 p.m.
Created at: April 6, 2026, 12:33 p.m.