Triple
T6872252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Hassan bin Talal |
E158577
|
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: [Prince Hassan bin Talal, familyName, bin Talal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bin Talal Context triple: [Prince Hassan 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.
Talal
Talal is a masculine given name of Arabic origin commonly used across the Arab world.
-
C.
Abu Sneineh
Abu Sneineh is an Arabic family name notably borne by Taysir Abu Sneineh, a Palestinian political figure.
-
D.
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.
-
E.
Tolba Marzuq
Tolba Marzuq is a character in Naguib Mahfouz’s novel "Miramar," representing one of the diverse boarders at the Alexandria pension whose interactions reflect Egypt’s social and political tensions in the 1960s.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8ac04e08190aa8011c0ade9d509 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742af0df88190bb23b7495c279e08 |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.