Triple

T2833619
Position Surface form Disambiguated ID Type / Status
Subject Mustafa E62297 entity
Predicate scriptFormArabic P6450 FINISHED
Object مصطفى
مصطفى هو اسم علم عربي شائع يُستخدم للذكور ويعني "المختار" أو "المنتقى".
E304409 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: مصطفى | Statement: [Mustafa, scriptFormArabic, مصطفى]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: مصطفى
Context triple: [Mustafa, scriptFormArabic, مصطفى]
  • A. Martin
    Martin is a minor but kind-hearted character in Ernest Hemingway's novella "The Old Man and the Sea," known for helping the old fisherman Santiago.
  • B. Martin
    Martin is the central protagonist of the 1991 psychological thriller film "Proof," around whom the story’s exploration of trust, perception, and human connection revolves.
  • C. Martin
    Martin is a pessimistic scholar who serves as one of Candide’s key philosophical foils in Voltaire’s satirical novella "Candide."
  • D. Martin
    Martin was the first name of Martin Luther, a prominent Nazi official who served as a diplomat in the German Foreign Office during the Third Reich.
  • E. Martin
    Martin is a masculine given name of Latin origin, commonly used in many European languages.
  • 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: مصطفى
Triple: [Mustafa, scriptFormArabic, مصطفى]
Generated description
مصطفى هو اسم علم عربي شائع يُستخدم للذكور ويعني "المختار" أو "المنتقى".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: مصطفى
Target entity description: مصطفى هو اسم علم عربي شائع يُستخدم للذكور ويعني "المختار" أو "المنتقى".
  • A. Martin
    Martin is a minor but kind-hearted character in Ernest Hemingway's novella "The Old Man and the Sea," known for helping the old fisherman Santiago.
  • B. Martin
    Martin is the central protagonist of the 1991 psychological thriller film "Proof," around whom the story’s exploration of trust, perception, and human connection revolves.
  • C. Martin
    Martin is a pessimistic scholar who serves as one of Candide’s key philosophical foils in Voltaire’s satirical novella "Candide."
  • D. Martin
    Martin was the first name of Martin Luther, a prominent Nazi official who served as a diplomat in the German Foreign Office during the Third Reich.
  • E. Martin
    Martin is a masculine given name of Latin origin, commonly used in many European languages.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptFormArabic
Context triple: [Mustafa, scriptFormArabic, مصطفى]
  • A. titleInArabic
    Indicates that an entity’s title is expressed in the Arabic language.
  • B. hasNameInArabic chosen
    Indicates that an entity is associated with a specific name expressed in the Arabic language.
  • C. writingForm
    Indicates the specific script, notation, or written representation used to express a piece of language or content.
  • D. writtenForm
    Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
  • E. artForm
    Indicates the type or category of artistic expression that characterizes or defines something (e.g., painting, music, dance).
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdec036dc8190bc2d974f6d82eda9 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8bf82808190a556e22d518f46f7 completed March 10, 2026, 9:47 a.m.
NEDg Description generation batch_69afea1732b481909a8df01d80ca1bd4 completed March 10, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69b00eff94b481909a4cc08c8494870c completed March 10, 2026, 12:30 p.m.
PD Predicate disambiguation batch_69abdd0ce8b08190ba28c192988f38ce completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:01 p.m.