Triple
T22658186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | رشدي أباظة |
E559286
|
entity |
| Predicate | workedWith |
P398
|
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: [رشدي أباظة, workedWith, نادية لطفي]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: نادية لطفي Context triple: [رشدي أباظة, workedWith, 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.
Nabila Ebeid
Nabila Ebeid is a prominent Egyptian film and television actress known for her leading roles in Arabic cinema since the 1960s.
- 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.