Triple
T22658166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | رشدي أباظة |
E559286
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | قسمت رشدي أباظة |
—
|
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: قسمت رشدي أباظة | Statement: [رشدي أباظة, child, قسمت رشدي أباظة]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: قسمت رشدي أباظة Context triple: [رشدي أباظة, child, قسمت رشدي أباظة]
-
A.
رشدي أباظة
chosen
رشدي أباظة هو ممثل مصري شهير من جيل النجوم الكبار في السينما المصرية، عُرف بجاذبيته وحضوره القوي على الشاشة وأدواره المتنوعة في أفلام الخمسينيات والستينيات.
-
B.
Rakhshandeh E’tesami
Rakhshandeh E’tesami, better known by her pen name Parvin E’tesami, was a prominent 20th-century Iranian poet celebrated for her didactic and allegorical verse.
-
C.
Shaddad al-Absi
Shaddad al-Absi was a pre-Islamic Arab noble of the Abs tribe, chiefly known as the father of the famed warrior-poet Antarah ibn Shaddad.
-
D.
Yadollah Sahabi
Yadollah Sahabi was an Iranian nationalist politician, academic, and prominent religious intellectual known for his role in Iran’s pro-democracy and reform movements.
-
E.
Abbas Sayah
Abbas Sayah is an Iranian actor best known for his role in the acclaimed film "Gabbeh."
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765d10588190b4574f3e64617cd4 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:07 p.m.