Triple
T22527292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أحمد مظهر |
E556939
|
entity |
| Predicate | شارك_مع |
P116152
|
FINISHED |
| Object | نادية لطفي |
—
|
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: نادية لطفي | Statement: [أحمد مظهر, شارك_مع, نادية لطفي]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: نادية لطفي Context triple: [أحمد مظهر, شارك_مع, نادية لطفي]
-
A.
Nadia Lotfy
chosen
Nadia Lotfy was a prominent Egyptian film actress, best known for her roles in classic Egyptian cinema of the 1950s and 1960s.
-
B.
Hani Nassar
Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
-
C.
Shereen Reda
Shereen Reda is an Egyptian actress and public figure known for her roles in film and television as well as her high-profile presence in Arab media.
-
D.
Nayel Nassar
Nayel Nassar is an Egyptian-American professional show jumping rider and businessman known for competing internationally and for being married to Jennifer Gates, the daughter of Bill and Melinda Gates.
-
E.
نجلاء فتحي
نجلاء فتحي هي ممثلة مصرية شهيرة من جيل السبعينيات عُرفت بأدوارها الرومانسية والدرامية في السينما العربية.
- 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.