Triple
T17387673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alamuddin |
E422729
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Amal Clooney |
—
|
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: Amal Clooney | Statement: [Alamuddin, notableBearer, Amal Clooney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amal Clooney Context triple: [Alamuddin, notableBearer, Amal Clooney]
-
A.
Amal Clooney
chosen
Amal Clooney is a prominent British-Lebanese human rights lawyer and activist known for representing high-profile clients and working on international law and justice issues.
-
B.
Amal Alamuddin
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.
-
C.
Amina Wallach
Amina Wallach is a person notable enough to be recognized as a significant bearer of the Wallach surname.
-
D.
Aida Helal
Aida Helal is an actress known for her role in the classic Egyptian film "The Nightingale's Prayer."
-
E.
Ginevra Elkann
Ginevra Elkann is an Italian film producer and director, known for her work in independent cinema and as a member of the prominent Agnelli industrial family.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8b66288190b29bb82eff761902 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.