Triple

T16214912
Position Surface form Disambiguated ID Type / Status
Subject İlhan E393561 entity
Predicate orthographicVariant P33995 FINISHED
Object Ilhan
Ilhan is a given name of Turkish origin used for both males and females.
E1200261 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: Ilhan | Statement: [İlhan, orthographicVariant, Ilhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilhan
Context triple: [İlhan, orthographicVariant, Ilhan]
  • A. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • B. Adam Ilhan
    Adam Ilhan is a musician and composer best known for creating the music for the British political satire film "In the Loop."
  • C. Celal
    Celal is a central character in Orhan Pamuk’s novel "The Black Book," around whom much of the story’s mystery and identity exploration revolves.
  • D. Cemil
    Cemil is a central fictional character from the Turkish novel and TV adaptation "Dudaktan Kalbe," known for his complex emotional struggles and romantic entanglements.
  • E. Rauf Orbay
    Rauf Orbay was an Ottoman naval officer and statesman best known for his role in late Ottoman politics and the early Turkish national movement, including serving as a signatory of the Armistice of Mudros and later as a prominent figure in the Turkish War of Independence.
  • 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: Ilhan
Triple: [İlhan, orthographicVariant, Ilhan]
Generated description
Ilhan is a given name of Turkish origin used for both males and females.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ilhan
Target entity description: Ilhan is a given name of Turkish origin used for both males and females.
  • A. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • B. Adam Ilhan
    Adam Ilhan is a musician and composer best known for creating the music for the British political satire film "In the Loop."
  • C. Celal
    Celal is a central character in Orhan Pamuk’s novel "The Black Book," around whom much of the story’s mystery and identity exploration revolves.
  • D. Cemil
    Cemil is a central fictional character from the Turkish novel and TV adaptation "Dudaktan Kalbe," known for his complex emotional struggles and romantic entanglements.
  • E. Rauf Orbay
    Rauf Orbay was an Ottoman naval officer and statesman best known for his role in late Ottoman politics and the early Turkish national movement, including serving as a signatory of the Armistice of Mudros and later as a prominent figure in the Turkish War of Independence.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f4685c8190aa1e9304e4a62d13 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000794e6c881909c4521e4dd031971 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00084d8e308190bd90811392586753 completed May 10, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0008c7430c81908b9620369c609ad8 completed May 10, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:03 a.m.