Triple

T4817928
Position Surface form Disambiguated ID Type / Status
Subject Alaeddin Ali Pasha E107634 entity
Predicate givenName P17 FINISHED
Object Alaeddin
Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
 E473974 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: Alaeddin | Statement: [Alaeddin Ali Pasha, givenName, Alaeddin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alaeddin
Context triple: [Alaeddin Ali Pasha, givenName, Alaeddin]
  • A. Gawhar Shad
    Gawhar Shad was a powerful and influential Timurid queen and patron of art and architecture in 15th-century Persia and Central Asia.
  • B. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • C. Eskandar
    Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
  • D. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • E. Izz al-Din Masud
    Izz al-Din Masud was a medieval Muslim ruler of the Zengid dynasty who governed parts of northern Iraq and Syria during the 12th 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: Alaeddin
Triple: [Alaeddin Ali Pasha, givenName, Alaeddin]
Generated description
Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alaeddin
Target entity description: Alaeddin was an early Ottoman statesman and son of Osman I, often regarded as the first Ottoman grand vizier.
  • A. Gawhar Shad
    Gawhar Shad was a powerful and influential Timurid queen and patron of art and architecture in 15th-century Persia and Central Asia.
  • B. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • C. Eskandar
    Eskandar is a Persian and Arabic form of the name Alexander, commonly used in historical and literary contexts to refer to Alexander the Great.
  • D. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • E. Izz al-Din Masud
    Izz al-Din Masud was a medieval Muslim ruler of the Zengid dynasty who governed parts of northern Iraq and Syria during the 12th century.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c95b0ec8190a562541b0d7417cb completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5caf2a488190aee1e81c71bd4b60 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5efdf88481908165609068de9273 completed March 21, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_69be5f63d5d881909c2f8bf29152903f completed March 21, 2026, 9:05 a.m.
Created at: March 20, 2026, 1:24 p.m.