Triple
T5918356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | فاتن حمامة |
E131636
|
entity |
| Predicate | عمل_مع |
P30363
|
FINISHED |
| Object | عمر الشريف |
E556924
|
NE FINISHED |
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: عمر الشريف | Statement: [فاتن حمامة, عمل_مع, عمر الشريف]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: عمر الشريف Context triple: [فاتن حمامة, عمل_مع, عمر الشريف]
-
A.
عمر الشريف
chosen
عمر الشريف هو ممثل مصري عالمي اشتهر بأدواره في أفلام مثل "لورنس العرب" و"دكتور زيفاجو" وأصبح من أبرز نجوم السينما العربية والدولية في القرن العشرين.
-
B.
Tarek Sharif
Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
-
C.
Said Malek
Said Malek is the father of Academy Award–winning actor Rami Malek.
-
D.
Alexander Siddig
Alexander Siddig is a Sudanese-born British actor known for his roles in film and television, including prominent performances in "Star Trek: Deep Space Nine," "Syriana," and "Game of Thrones."
-
E.
Saif al-Adel
Saif al-Adel is a senior Egyptian militant and former military officer widely believed to be the de facto leader of al-Qaeda and a key strategist behind several major terrorist operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c049fdb3e08190a72337ab4f48bc8e |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10811e00881908ca0788b9126a1ff |
completed | March 23, 2026, 9:29 a.m. |
Created at: March 22, 2026, 3:59 p.m.