Triple
T22526783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عمر الشريف |
E556924
|
entity |
| Predicate | العمل مع |
P97828
|
FINISHED |
| Object | المخرج يوسف شاهين |
—
|
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: المخرج يوسف شاهين | Statement: [عمر الشريف, العمل مع, المخرج يوسف شاهين]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: المخرج يوسف شاهين Context triple: [عمر الشريف, العمل مع, المخرج يوسف شاهين]
-
A.
يوسف شاهين
chosen
يوسف شاهين هو مخرج سينمائي مصري بارز يُعد من أهم رواد السينما العربية، عُرف بأفلامه ذات البعد السياسي والفلسفي وتجديده للغة السينما في مصر.
-
B.
Youssef Chahine
Youssef Chahine was a pioneering Egyptian film director and screenwriter renowned for his influential, socially engaged cinema and for helping shape modern Arab film.
-
C.
Bahaa E. A. Saleh
Bahaa E. A. Saleh is a prominent physicist and engineer known for his influential contributions to optics and photonics, including quantum optics and optical signal processing.
-
D.
Avi Arad
Avi Arad is an Israeli-American film producer and former Marvel executive best known for helping launch the modern era of Marvel superhero movies.
-
E.
Amos Labaki
Amos Labaki is a cinematographer best known for his work on the 1995 horror film "The Mangler," adapted from a Stephen King short story.
- 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_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.