Triple
T22528029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandria Again and Forever |
E556956
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Samia Gamal
Samia Gamal was a renowned Egyptian belly dancer and film actress, celebrated as one of the golden age icons of Egyptian cinema.
|
E1567831
|
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: Samia Gamal | Statement: [Alexandria Again and Forever, hasCastMember, Samia Gamal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samia Gamal Context triple: [Alexandria Again and Forever, hasCastMember, Samia Gamal]
-
A.
Hani Nassar
Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
-
B.
Nabila Ebeid
Nabila Ebeid is a prominent Egyptian film and television actress known for her leading roles in Arabic cinema since the 1960s.
-
C.
Maysa Hassan
Maysa Hassan is a fictional character portrayed by Palestinian actress and director Hiam Abbass.
-
D.
Shereen Reda
Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
-
E.
Laila Elwi
Laila Elwi is a prominent Egyptian actress known for her extensive work in film, television, and theater across the Arab world.
- 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: Samia Gamal Triple: [Alexandria Again and Forever, hasCastMember, Samia Gamal]
Generated description
Samia Gamal was a renowned Egyptian belly dancer and film actress, celebrated as one of the golden age icons of Egyptian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samia Gamal Target entity description: Samia Gamal was a renowned Egyptian belly dancer and film actress, celebrated as one of the golden age icons of Egyptian cinema.
-
A.
Hani Nassar
Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
-
B.
Nabila Ebeid
Nabila Ebeid is a prominent Egyptian film and television actress known for her leading roles in Arabic cinema since the 1960s.
-
C.
Maysa Hassan
Maysa Hassan is a fictional character portrayed by Palestinian actress and director Hiam Abbass.
-
D.
Shereen Reda
Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
-
E.
Laila Elwi
Laila Elwi is a prominent Egyptian actress known for her extensive work in film, television, and theater across the Arab world.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed4d4608190ba93bb54f15334a5 |
completed | April 29, 2026, 1:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0abd066081909ce2709cd85a1551 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0b70986c81909e1db90201b55f9d |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0c368c1c81909075c3d9802cfa2f |
completed | May 19, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:51 p.m.