Triple
T21965522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adel Emam |
E542445
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Mohamed Emam |
—
|
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: Mohamed Emam | Statement: [Adel Emam, relative, Mohamed Emam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohamed Emam Context triple: [Adel Emam, relative, Mohamed Emam]
-
A.
Mohamed Emam
chosen
Mohamed Emam is an Egyptian actor known for his roles in film and television, and for being the son of legendary comedian and actor Adel Emam.
-
B.
Mohamed Amer
Mohamed Amer is a common Arabic personal name shared by several notable individuals, including figures in politics, sports, and the arts.
-
C.
Emad El-Din
Emad El-Din is the given first name of Dodi Fayed, the Egyptian film producer and companion of Diana, Princess of Wales.
-
D.
Hossam Hassan
Hossam Hassan is a legendary Egyptian striker and record international goalscorer, widely regarded as one of Africa’s greatest footballers.
-
E.
Mohamed Mounir
Mohamed Mounir is a renowned Egyptian singer and actor celebrated for blending Nubian, jazz, reggae, and traditional Arabic music into a distinctive contemporary style.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.