Triple
T836338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussein bin Talal |
E18075
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | bin 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: bin Talal | Statement: [Hussein bin Talal, familyName, bin Talal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bin Talal Context triple: [Hussein bin Talal, familyName, bin Talal]
-
A.
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.
-
B.
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.
-
C.
Wad Madani
Wad Madani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important commercial and agricultural hub along the Blue Nile.
-
D.
Taltal
Taltal is a coastal city in northern Chile known for its historic mining activity and proximity to the Atacama Desert.
-
E.
Khaldoon
Khaldoon is an Arabic masculine given name commonly used in the Middle East.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abce08348190b716e3ce5a638f99 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d9cddb48190b0d297c2cc9f3b3c |
completed | March 3, 2026, 11:24 p.m. |
Created at: March 1, 2026, 7:38 p.m.