Triple
T22528069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandria Again and Forever |
E556956
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Sanaa Gamil |
—
|
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: Sanaa Gamil | Statement: [Alexandria Again and Forever, hasCastMember, Sanaa Gamil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanaa Gamil Context triple: [Alexandria Again and Forever, hasCastMember, Sanaa Gamil]
-
A.
Sanaa Gamil
chosen
Sanaa Gamil was a prominent Egyptian actress renowned for her powerful performances in mid-20th-century Egyptian theatre and cinema.
-
B.
Laila Elwi
Laila Elwi is a prominent Egyptian actress known for her extensive work in film, television, and theater across the Arab world.
-
C.
Mona Zaki
Mona Zaki is a prominent Egyptian film and television actress widely regarded as one of the leading stars of contemporary Arabic cinema.
-
D.
Sanaa Younes
Sanaa Younes is an Egyptian actress known for her roles in Arab cinema and television.
-
E.
Yasmine El Rashidi
Yasmine El Rashidi is an Egyptian writer and journalist known for her essays and reportage on contemporary Egyptian politics and society.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed4d4608190ba93bb54f15334a5 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.