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.