Triple
T22526803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نادية عز الدين ذو الفقار |
E556925
|
entity |
| Predicate | الأم |
P74792
|
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: [نادية عز الدين ذو الفقار, الأم, فاتن حمامة]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: فاتن حمامة Context triple: [نادية عز الدين ذو الفقار, الأم, 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.
Bilqis
Bilqis is the traditional name, especially in Islamic tradition, for the Queen of Sheba, a legendary monarch known for her wisdom and encounter with the prophet-king Solomon.
- 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_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.