Triple

T13408683
Position Surface form Disambiguated ID Type / Status
Subject Çalıkuşu E320026 entity
Predicate hasCharacter P2308 FINISHED
Object Kamran
Kamran is a central romantic lead in the classic Turkish novel and TV adaptations of "Çalıkuşu," known for his complex, often tumultuous relationship with the heroine Feride.
 E1039835 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: Kamran | Statement: [Çalıkuşu, hasCharacter, Kamran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamran
Context triple: [Çalıkuşu, hasCharacter, Kamran]
  • A. Zafar
    Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
  • B. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • C. Kamran Mirza
    Kamran Mirza was a Mughal prince, the second son of Emperor Babur and a prominent political figure in the early Mughal Empire known for his repeated rebellions against his brother Humayun.
  • D. Asif
    Asif is a common male given name used in South Asian and Middle Eastern cultures, notably borne by Pakistani politician Asif Ali Zardari.
  • E. Khurram
    Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
  • 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: Kamran
Triple: [Çalıkuşu, hasCharacter, Kamran]
Generated description
Kamran is a central romantic lead in the classic Turkish novel and TV adaptations of "Çalıkuşu," known for his complex, often tumultuous relationship with the heroine Feride.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamran
Target entity description: Kamran is a central romantic lead in the classic Turkish novel and TV adaptations of "Çalıkuşu," known for his complex, often tumultuous relationship with the heroine Feride.
  • A. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • B. Zafar
    Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
  • C. Kamran Mirza
    Kamran Mirza was a Mughal prince, the second son of Emperor Babur and a prominent political figure in the early Mughal Empire known for his repeated rebellions against his brother Humayun.
  • D. Asif
    Asif is a common male given name used in South Asian and Middle Eastern cultures, notably borne by Pakistani politician Asif Ali Zardari.
  • E. Khurram
    Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4d2c5481908facfaaa1501e344 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ccff08190aa4037aa5a48f7d0 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7313c6bcc8190a848cf8945a0ae2a completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f736f2f6a081908d532dba6f34ed97 completed May 3, 2026, 11:52 a.m.
Created at: April 9, 2026, 9:35 p.m.