Triple

T8272968
Position Surface form Disambiguated ID Type / Status
Subject Aziz E193470 entity
Predicate writing P37066 FINISHED
Object عزيز
عزيز هو كاتب عربي يحمل هذا الاسم ويُعرف بإنتاجه الأدبي المكتوب باللغة العربية.
E722951 NE FINISHED

How this triple was built (5 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: عزيز | Statement: [Aziz, writing, عزيز]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: عزيز
Context triple: [Aziz, writing, عزيز]
  • A. John
    John is the birth name of American actor Jack Lemmon, a celebrated star of classic films such as "Some Like It Hot" and "The Apartment."
  • B. John
    John is the given name of Sir John Copley, a titled individual likely known for his status and contributions within British society.
  • C. John
    John is the given name of Sir John Trevor, a historical British political figure.
  • D. John
    John is the husband of Martha Rainsborough.
  • E. John
    John is the given name of John Bodkin Adams, a British physician notorious for being suspected of murdering numerous patients in the mid-20th century.
  • 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: عزيز
Triple: [Aziz, writing, عزيز]
Generated description
عزيز هو كاتب عربي يحمل هذا الاسم ويُعرف بإنتاجه الأدبي المكتوب باللغة العربية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: عزيز
Target entity description: عزيز هو كاتب عربي يحمل هذا الاسم ويُعرف بإنتاجه الأدبي المكتوب باللغة العربية.
  • A. John
    John is the husband of Martha Rainsborough.
  • B. John
    John is the given name of John Vlissides, a software engineer best known as one of the “Gang of Four” authors of the influential book *Design Patterns: Elements of Reusable Object-Oriented Software*.
  • C. John
    John is the given name of Sir John Tusa, a prominent British arts administrator and former managing director of the BBC World Service and the Barbican Centre.
  • D. John
    John was a historical Prince of Asturias, the traditional title for the heir apparent to the Spanish throne.
  • E. John
    John is the given name of John Hays Hammond Jr., an American inventor known for his pioneering work in radio control and naval weaponry.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writing
Context triple: [Aziz, writing, عزيز]
  • A. written
    Indicates that one entity has created or authored a text, document, or written work involving or about another entity.
  • B. wrote
    Indicates that an entity is the author or creator of a written work involving another entity.
  • C. writingForm chosen
    Indicates the specific script, notation, or written representation used to express a piece of language or content.
  • D. writingComponent
    Indicates that one entity is a written part or element that contributes to the composition or structure of another entity.
  • E. rite
    Indicates a ceremonial or ritual action performed according to established traditions or religious practices.
  • F. None of above.

Provenance (6 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb798878988190a5f63c854aa070f2 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68502888819084bfe4621978711d completed April 1, 2026, 6:47 p.m.
NEDg Description generation batch_69cd6c21172481908dc04b85ee4370a8 completed April 1, 2026, 7:04 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e0d1b8c8190b5183cc176432061 completed April 1, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69cb70a4525481909399d313a6247ace completed March 31, 2026, 6:58 a.m.
Created at: March 30, 2026, 5:50 p.m.