Triple
T12956962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Granite Pictures |
E310037
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Riza Aziz |
E286399
|
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: Riza Aziz | Statement: [Red Granite Pictures, coFounder, Riza Aziz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riza Aziz Context triple: [Red Granite Pictures, coFounder, Riza Aziz]
-
A.
Riza Aziz
chosen
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.
-
B.
Aida Helal
Aida Helal is an actress known for her role in the classic Egyptian film "The Nightingale's Prayer."
-
C.
Fatimah el-Sharif
Fatimah el-Sharif was the Queen consort of Libya as the wife of King Idris I and a member of the prominent Senussi family.
-
D.
Safa Zaki
Safa Zaki is a cognitive psychologist and academic leader who became the first woman to serve as president of Bowdoin College.
-
E.
Hani Nassar
Hani Nassar is an individual notable enough to be specifically cited as a bearer of the surname Nassar.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2c5bf481908ca6adcfd3354f71 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8dc135c819091b7708d90db25cb |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:44 p.m.