Triple
T22658182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | رشدي أباظة |
E559286
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | فاتن حمامة |
—
|
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: فاتن حمامة | Statement: [رشدي أباظة, workedWith, فاتن حمامة]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: فاتن حمامة Context triple: [رشدي أباظة, workedWith, فاتن حمامة]
-
A.
فاتن حمامة
chosen
فاتن حمامة هي ممثلة مصرية شهيرة لُقبت بـ"سيدة الشاشة العربية" وتُعد من أبرز نجمات السينما في العالم العربي في القرن العشرين.
-
B.
Hani Toukan
Hani Toukan is a notable member of the prominent Toukan family, recognized for his public profile and contributions associated with this influential lineage.
-
C.
Fathia
Fathia was an Egyptian-born teacher and the First Lady of Ghana as the wife of its first president, Kwame Nkrumah.
-
D.
Haya Harareet
Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
-
E.
Abla Kamel
Abla Kamel is a renowned Egyptian actress known for her powerful performances in film, television, and theater, often portraying strong, emotionally complex women.
- 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.