Triple
T22847217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nouri al-Maliki |
E566255
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Nouri |
—
|
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: Nouri | Statement: [Nouri al-Maliki, hasGivenName, Nouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nouri Context triple: [Nouri al-Maliki, hasGivenName, Nouri]
-
A.
Nouri
chosen
Nouri is the given name of Nouri al-Maliki, the former Prime Minister of Iraq.
-
B.
Nizar
Nizar is a masculine given name most famously associated with the Syrian poet and diplomat Nizar Qabbani.
-
C.
Fayez
Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
-
D.
Al-Mizzi
Al-Mizzi was a prominent 13th–14th century Syrian Islamic scholar and hadith expert renowned for his biographical works on narrators and his influence on later scholars such as Ibn Kathir.
-
E.
Fouad
Fouad is a masculine given name of Arabic origin commonly used in North African and Middle Eastern countries.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e89ab348190a31260221195ae67 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.