Triple
T19817064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talal bin Abdulaziz Al Saud |
E476086
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Talal |
—
|
NE NERFINISHED |
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: Talal | Statement: [Talal bin Abdulaziz Al Saud, givenName, Talal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talal Context triple: [Talal bin Abdulaziz Al Saud, givenName, Talal]
-
A.
Talal
chosen
Talal is a masculine given name of Arabic origin commonly used across the Arab world.
-
B.
Khalaf
Khalaf is an Arabic surname commonly borne by individuals and families across the Middle East and the broader Arab diaspora.
-
C.
Jassim
Jassim is a masculine given name of Arabic origin, commonly used in the Gulf region and associated with several notable historical and contemporary figures.
-
D.
Suhail
Suhail is the Arabic name for Canopus, the second-brightest star in the night sky and a key navigational star historically used by Arab sailors and desert travelers.
-
E.
Nawaf
Nawaf is a masculine given name commonly used in Arabic-speaking countries, often associated with nobility and leadership.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654f9c5b08190987237f5144c3b37 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.