Triple
T4532716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basma bint Talal |
E106334
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | bint Talal |
E18075
|
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: bint Talal | Statement: [Basma bint Talal, familyName, bint Talal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bint Talal Context triple: [Basma bint Talal, familyName, bint Talal]
-
A.
Talal
Talal is a masculine given name of Arabic origin commonly used across the Arab world.
-
B.
bin Talal
chosen
Bin Talal is the family name of Jordan’s Hashemite royal lineage that includes King Hussein and other prominent members of the Jordanian monarchy.
-
C.
Malik Talao
Malik Talao is a scenic lake within Ranthambore National Park in Rajasthan, India, known for attracting diverse wildlife and enhancing the park’s natural beauty.
-
D.
Talani Rabb
Talani Rabb is an American fashion model best known for her work in the 1990s and 2000s and for being married to rapper and producer RZA of the Wu-Tang Clan.
-
E.
Tahir
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579f27ac8190ae9a4252109e56e1 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdace3a81c8190963ea65fa3df23c0 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:03 p.m.