Triple
T13416836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonallah Ibrahim |
E313235
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sharaf
Sharaf is a novel by Egyptian writer Sonallah Ibrahim that offers a sharp critique of social and political corruption in contemporary Egypt.
|
E1039444
|
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: Sharaf | Statement: [Sonallah Ibrahim, notableWork, Sharaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharaf Context triple: [Sonallah Ibrahim, notableWork, Sharaf]
-
A.
Sharaf
Sharaf is the sixteenth month of the Badíʻ (Baháʼí) calendar, whose name signifies "honour" or "nobility."
-
B.
Asharaf
Asharaf is a masculine given name, commonly used in South Asian and Middle Eastern cultures, that is a variant spelling of the name Ashraf.
-
C.
Sharafat
Sharafat is an Indian film for which Kamal Bose is particularly recognized for his acclaimed cinematography work.
-
D.
Suhraward
Suhraward is a historic town in northwestern Iran known as the birthplace of several prominent medieval Islamic scholars and mystics.
-
E.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
- 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: Sharaf Triple: [Sonallah Ibrahim, notableWork, Sharaf]
Generated description
Sharaf is a novel by Egyptian writer Sonallah Ibrahim that offers a sharp critique of social and political corruption in contemporary Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharaf Target entity description: Sharaf is a novel by Egyptian writer Sonallah Ibrahim that offers a sharp critique of social and political corruption in contemporary Egypt.
-
A.
Sharaf
Sharaf is the sixteenth month of the Badíʻ (Baháʼí) calendar, whose name signifies "honour" or "nobility."
-
B.
Asharaf
Asharaf is a masculine given name, commonly used in South Asian and Middle Eastern cultures, that is a variant spelling of the name Ashraf.
-
C.
Sharafat
Sharafat is an Indian film for which Kamal Bose is particularly recognized for his acclaimed cinematography work.
-
D.
Suhraward
Suhraward is a historic town in northwestern Iran known as the birthplace of several prominent medieval Islamic scholars and mystics.
-
E.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308095548190afb659b84f2775f2 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73242a368819080ceda37583c0d7c |
completed | May 3, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f732b3ba748190b2a430300e798ed8 |
completed | May 3, 2026, 11:34 a.m. |
Created at: April 9, 2026, 9:39 p.m.