Triple

T14365473
Position Surface form Disambiguated ID Type / Status
Subject Cemal Gürsel E356220 entity
Predicate familyName P18 FINISHED
Object Gürsel
Gürsel is a Turkish surname most notably associated with Cemal Gürsel, a military leader and the fourth President of Turkey.
 E1098342 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: Gürsel | Statement: [Cemal Gürsel, familyName, Gürsel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gürsel
Context triple: [Cemal Gürsel, familyName, Gürsel]
  • A. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • B. Gündoğdu
    Gündoğdu is a small settlement located on Marmara Island in northwestern Turkey.
  • C. Fuat
    Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
  • D. Gökhan
    Gökhan is a masculine given name of Turkish origin commonly used in Turkey and among Turkish communities.
  • E. 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.
  • 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: Gürsel
Triple: [Cemal Gürsel, familyName, Gürsel]
Generated description
Gürsel is a Turkish surname most notably associated with Cemal Gürsel, a military leader and the fourth President of Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gürsel
Target entity description: Gürsel is a Turkish surname most notably associated with Cemal Gürsel, a military leader and the fourth President of Turkey.
  • A. Güntekin
    Güntekin is the surname of the renowned Turkish novelist and playwright Reşat Nuri, best known for works such as "Çalıkuşu."
  • B. Gündoğdu
    Gündoğdu is a small settlement located on Marmara Island in northwestern Turkey.
  • C. Fuat
    Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
  • D. Gökhan
    Gökhan is a masculine given name of Turkish origin commonly used in Turkey and among Turkish communities.
  • E. 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.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fad48748190a0f34ca4d02f9a3c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bbf21a48190921e99685c7ef2b9 completed May 8, 2026, 3:42 a.m.
NEDg Description generation batch_69fd5c84731881909e5617cae7d94fc8 completed May 8, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69fd5ce67bb48190b2eecccb0b61bbbb completed May 8, 2026, 3:47 a.m.
Created at: April 10, 2026, 1:15 a.m.