Triple
T5374730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Basma bint Talal |
E108933
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
bint Talal
Bint Talal is the family name of Princess Basma, a prominent Jordanian royal known for her humanitarian and advocacy work.
|
E18075
|
NE FINISHED |
How this triple was built (4 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: [Princess Basma bint Talal, familyName, bint Talal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bint Talal Context triple: [Princess 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
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: bint Talal Triple: [Princess Basma bint Talal, familyName, bint Talal]
Generated description
Bint Talal is the family name of Princess Basma, a prominent Jordanian royal known for her humanitarian and advocacy work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: bint Talal Target entity description: Bint Talal is the family name of Princess Basma, a prominent Jordanian royal known for her humanitarian and advocacy work.
-
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.
Provenance (5 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86ad820081908763765dcbc99cbf |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf293ba6a08190bcbecf465e4e5881 |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf29f4c56481908d3f83ec6e7ba96a |
completed | March 21, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2ab19a50819098ef5a611daa8cd6 |
completed | March 21, 2026, 11:33 p.m. |
Created at: March 20, 2026, 2:03 p.m.