Triple
T21706001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian music industry |
E535772
|
entity |
| Predicate | contemporaryFigure |
P126153
|
FINISHED |
| Object | Tamer Hosny |
—
|
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: Tamer Hosny | Statement: [Egyptian music industry, contemporaryFigure, Tamer Hosny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamer Hosny Context triple: [Egyptian music industry, contemporaryFigure, Tamer Hosny]
-
A.
Tamer Hosny
chosen
Tamer Hosny is an Egyptian singer, actor, and composer widely regarded as one of the most popular contemporary Arabic pop stars.
-
B.
Nabil Amer
Nabil Amer is a person notable enough to be recognized as a namesake of the surname Amer.
-
C.
Tamer Hassan
Tamer Hassan is a British actor known for his tough-guy roles in crime and gangster films.
-
D.
Mostafa Madbouly
Mostafa Madbouly is an Egyptian politician who has served as the Prime Minister of Egypt, overseeing the country's executive government.
-
E.
Kamal Salah
Kamal Salah is the birth name of Sami Michael, an Iraqi-born Israeli author known for his novels depicting the lives and struggles of Middle Eastern Jews and Arabs.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52f64c48190b5d59561999e922f |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.