Triple

T14365472
Position Surface form Disambiguated ID Type / Status
Subject Cemal Gürsel E356220 entity
Predicate givenName P17 FINISHED
Object Cemal
Cemal is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
 E1096899 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: Cemal | Statement: [Cemal Gürsel, givenName, Cemal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cemal
Context triple: [Cemal Gürsel, givenName, Cemal]
  • A. 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.
  • B. Tevfik
    Tevfik is a central fictional character in the classic Turkish novel "Sinekli Bakkal" by Halide Edib Adıvar.
  • C. 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.
  • D. Ahmet
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • E. Osman Digna
    Osman Digna was a prominent 19th-century Sudanese military commander and key lieutenant of the Mahdist movement, noted for leading successful campaigns against Egyptian and British forces in eastern Sudan.
  • 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: Cemal
Triple: [Cemal Gürsel, givenName, Cemal]
Generated description
Cemal is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cemal
Target entity description: Cemal is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
  • A. 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.
  • B. Tevfik
    Tevfik is a central fictional character in the classic Turkish novel "Sinekli Bakkal" by Halide Edib Adıvar.
  • C. 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.
  • D. Ahmet
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • E. Osman Digna
    Osman Digna was a prominent 19th-century Sudanese military commander and key lieutenant of the Mahdist movement, noted for leading successful campaigns against Egyptian and British forces in eastern Sudan.
  • 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_69fd550e677c8190837c3b9ccb64f0cd completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5637a46881908f3a4b26cc2159ca completed May 8, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_69fd56ae779c81908e09866913df3e3e completed May 8, 2026, 3:21 a.m.
Created at: April 10, 2026, 1:15 a.m.