Triple

T13287990
Position Surface form Disambiguated ID Type / Status
Subject The Black Book E316490 entity
Predicate majorCharacter P12208 FINISHED
Object 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.
E1038033 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: Celal | Statement: [The Black Book, majorCharacter, Celal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celal
Context triple: [The Black Book, majorCharacter, Celal]
  • A. Bekir
    Bekir is a common Turkish male given name of Arabic origin, often associated with early Islamic history and frequently borne by notable figures in Turkey.
  • B. 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.
  • C. Fuat
    Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
  • D. Kerim Bey
    Kerim Bey is a charismatic and resourceful MI6 ally in the James Bond series, best known for assisting Bond in Istanbul in the film and novel "From Russia, with Love."
  • 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: Celal
Triple: [The Black Book, majorCharacter, Celal]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Celal
Target entity description: 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.
  • A. Bekir
    Bekir is a common Turkish male given name of Arabic origin, often associated with early Islamic history and frequently borne by notable figures in Turkey.
  • B. 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.
  • C. Fuat
    Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
  • D. Kerim Bey
    Kerim Bey is a charismatic and resourceful MI6 ally in the James Bond series, best known for assisting Bond in Istanbul in the film and novel "From Russia, with Love."
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7305e1d70819096ff9784e9fafde9 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7315007c081909ae53890e0782059 completed May 3, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_69f731b63f6081909658ce3af7103fe8 completed May 3, 2026, 11:29 a.m.
Created at: April 9, 2026, 9:27 p.m.