Triple
T22526735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عز الدين ذو الفقار |
E556923
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | شكري سرحان |
—
|
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: شكري سرحان | Statement: [عز الدين ذو الفقار, notableCollaboration, شكري سرحان]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: شكري سرحان Context triple: [عز الدين ذو الفقار, notableCollaboration, شكري سرحان]
-
A.
شكري سرحان
chosen
شكري سرحان هو ممثل مصري بارز يُعد من نجوم السينما الكلاسيكية في القرن العشرين وشارك في العديد من الأفلام المهمة في تاريخ السينما المصرية.
-
B.
Salman
Salman is the given name of Salman Rushdie, the renowned British-Indian novelist known for works such as "Midnight's Children" and "The Satanic Verses."
-
C.
Salman
Salman is a male given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
-
D.
Rami Shakarchi
Rami Shakarchi is a mathematician and educator best known for coauthoring with Elias Stein a widely used series of graduate-level textbooks on analysis.
-
E.
Tarek Sharif
Tarek Sharif is the son of legendary Egyptian actors Omar Sharif and Faten Hamama.
- 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.