Triple
T6009213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Between Two Palaces |
E133788
|
entity |
| Predicate | hasNotableActor |
P17435
|
FINISHED |
| Object | Faten Hamama |
E24444
|
NE FINISHED |
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: Faten Hamama | Statement: [Between Two Palaces, hasNotableActor, Faten Hamama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faten Hamama Context triple: [Between Two Palaces, hasNotableActor, Faten Hamama]
-
A.
Faten Hamama
chosen
Faten Hamama was a renowned Egyptian film actress often hailed as the "Lady of the Arabic Screen" and a central figure in the golden age of Egyptian cinema.
-
B.
Tahia Kazem
Tahia Kazem was the wife of Egyptian president Gamal Abdel Nasser and served as Egypt’s First Lady during his tenure from 1956 to 1970.
-
C.
Amal Nasser el-Din
Amal Nasser el-Din is an Israeli Druze politician and community leader known for his advocacy of Druze integration and service within the State of Israel.
-
D.
Hamida Mohammad Ali
Hamida Mohammad Ali was the wife of Pakistani statesman and former Prime Minister Mohammad Ali Bogra.
-
E.
Riza Aziz
Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4e27a881909cc3f7fef62abc3b |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6636b8a388190879829af44325e0e |
completed | March 27, 2026, 11 a.m. |
Created at: March 22, 2026, 4:06 p.m.