Triple
T13416835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonallah Ibrahim |
E313235
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Zaat
Zaat is a satirical Egyptian novel by Sonallah Ibrahim that critiques modern Egyptian society through the life of a middle-class woman navigating political and social upheavals.
|
E1039443
|
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: Zaat | Statement: [Sonallah Ibrahim, notableWork, Zaat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaat Context triple: [Sonallah Ibrahim, notableWork, Zaat]
-
A.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
B.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
C.
Zaʼtara
Zaʼtara is a Palestinian village in the central West Bank, located southeast of Bethlehem.
-
D.
Zonaras
Zonaras was a 12th-century Byzantine chronicler and former imperial official best known for his Epitome of Histories, a major source for earlier lost works on Roman and Byzantine history.
-
E.
Yaviza
Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
- 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: Zaat Triple: [Sonallah Ibrahim, notableWork, Zaat]
Generated description
Zaat is a satirical Egyptian novel by Sonallah Ibrahim that critiques modern Egyptian society through the life of a middle-class woman navigating political and social upheavals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zaat Target entity description: Zaat is a satirical Egyptian novel by Sonallah Ibrahim that critiques modern Egyptian society through the life of a middle-class woman navigating political and social upheavals.
-
A.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
B.
Zarak
Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
-
C.
Zaʼtara
Zaʼtara is a Palestinian village in the central West Bank, located southeast of Bethlehem.
-
D.
Zonaras
Zonaras was a 12th-century Byzantine chronicler and former imperial official best known for his Epitome of Histories, a major source for earlier lost works on Roman and Byzantine history.
-
E.
Yaviza
Yaviza is a small town in Panama’s Darién Province known as the southern terminus of the Pan-American Highway and a gateway to the remote Darién region.
- 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.