Triple
T13532949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayef bin Abdulaziz Al Saud |
E323181
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nayef
Nayef is a masculine given name of Arabic origin commonly used in the Arab world.
|
E1048158
|
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: Nayef | Statement: [Nayef bin Abdulaziz Al Saud, givenName, Nayef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nayef Context triple: [Nayef bin Abdulaziz Al Saud, givenName, Nayef]
-
A.
Nasir al-Sadoon
Nasir al-Sadoon was an Iraqi statesman and tribal leader credited with establishing the city of Nasiriyah in southern Iraq.
-
B.
Nayef bin Abdullah
Nayef bin Abdullah was a Jordanian prince and son of King Abdullah I who briefly served as regent before being sidelined from the line of succession.
-
C.
Al Anoud
Al Anoud is a Saudi princess from the Al Jiluwi branch of the royal family, known primarily as the wife of King Fahd of Saudi Arabia.
-
D.
Talal bin Muhammad
Talal bin Muhammad is a Jordanian prince and senior member of the Hashemite royal family who has held various military and diplomatic roles.
-
E.
Talal bin Abdullah
Talal bin Abdullah was King of Jordan from 1951 to 1952, known for introducing a liberal constitution that strengthened parliamentary government before abdicating due to health reasons.
- 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: Nayef Triple: [Nayef bin Abdulaziz Al Saud, givenName, Nayef]
Generated description
Nayef is a masculine given name of Arabic origin commonly used in the Arab world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nayef Target entity description: Nayef is a masculine given name of Arabic origin commonly used in the Arab world.
-
A.
Nasir al-Sadoon
Nasir al-Sadoon was an Iraqi statesman and tribal leader credited with establishing the city of Nasiriyah in southern Iraq.
-
B.
Nayef bin Abdullah
Nayef bin Abdullah was a Jordanian prince and son of King Abdullah I who briefly served as regent before being sidelined from the line of succession.
-
C.
Al Anoud
Al Anoud is a Saudi princess from the Al Jiluwi branch of the royal family, known primarily as the wife of King Fahd of Saudi Arabia.
-
D.
Talal bin Muhammad
Talal bin Muhammad is a Jordanian prince and senior member of the Hashemite royal family who has held various military and diplomatic roles.
-
E.
Talal bin Abdullah
Talal bin Abdullah was King of Jordan from 1951 to 1952, known for introducing a liberal constitution that strengthened parliamentary government before abdicating due to health reasons.
- F. None of above. chosen
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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbb34548190a6b44faa48125cd4 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76babfb948190bc028450ddaa0b72 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77640b5308190aaa50e8d5d871832 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:44 p.m.