Triple
T7907140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alia Ghanem |
E183604
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alia |
E183604
|
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: Alia | Statement: [Alia Ghanem, givenName, Alia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alia Context triple: [Alia Ghanem, givenName, Alia]
-
A.
Alia Tabbaa
Alia Tabbaa is a Jordanian princess known for her philanthropic work and role in various charitable organizations.
-
B.
Alia Ghanem
chosen
Alia Ghanem is the mother of Osama bin Laden and a member of a prominent Saudi family.
-
C.
Alia Shawkat
Alia Shawkat is an American actress best known for her role as the quick-witted Maeby Fünke on the cult television sitcom "Arrested Development."
-
D.
Hania Rani
Hania Rani is a Polish pianist, composer, and singer known for her atmospheric, minimalist music that blends classical, ambient, and electronic influences.
-
E.
Ritika Sajdeh
Ritika Sajdeh is an Indian sports manager and public figure best known for her association with prominent cricketers and her marriage to Indian cricket star Rohit Sharma.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5871b8819087ad69c116c40091 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd0024c81909679a45612bcb1a7 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:03 p.m.