Triple
T21406472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midaq Alley |
E528047
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Radwan Hussainy |
—
|
NE NERFINISHED |
How this triple was built (2 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: Radwan Hussainy | Statement: [Midaq Alley, hasCharacter, Radwan Hussainy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radwan Hussainy Context triple: [Midaq Alley, hasCharacter, Radwan Hussainy]
-
A.
Radwan Hussainy
chosen
Radwan Hussainy is a devout, respected religious scholar and spiritual guide in Naguib Mahfouz’s novel "Midaq Alley," known for his piety and moral authority within the community.
-
B.
Falah al-Naqib
Falah al-Naqib is an Iraqi politician who served as interior minister in the post-2003 transitional period.
-
C.
Abdelhalim Nasr
Abdelhalim Nasr was a cinematographer known for his work on the Egyptian film "The Sin" and contributions to mid-20th-century Arab cinema.
-
D.
Luttif Afif
Luttif Afif was a Palestinian militant best known as one of the leaders of the 1972 Munich Olympics hostage-taking and massacre.
-
E.
Abdel Raouf Dafri
Abdel Raouf Dafri is a French screenwriter known for his gritty crime dramas and work on acclaimed television series and films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b08fdc81909b3ba01add5f6484 |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:31 p.m.