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.