Triple
T15907334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amal Alamuddin |
E385753
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Amal Alamuddin |
E385753
|
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: Amal Alamuddin | Statement: [Amal Alamuddin, name, Amal Alamuddin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amal Alamuddin Context triple: [Amal Alamuddin, name, Amal Alamuddin]
-
A.
Amal Alamuddin
chosen
Amal Alamuddin, better known as Amal Clooney, is a prominent Lebanese-British barrister and human rights lawyer recognized for her high-profile international law cases and advocacy work.
-
B.
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.
-
C.
Aida Helal
Aida Helal is an actress known for her role in the classic Egyptian film "The Nightingale's Prayer."
-
D.
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.
-
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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.