Triple
T22784154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chedli Klibi |
E563916
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Chedli |
—
|
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: Chedli | Statement: [Chedli Klibi, givenName, Chedli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chedli Context triple: [Chedli Klibi, givenName, Chedli]
-
A.
Chedli
chosen
Chedli is a Tunisian given name most notably borne by Chedli Klibi, a prominent politician and former Secretary-General of the Arab League.
-
B.
Chedid
Chedid is a notable Lebanese-French family name associated with several prominent artists, writers, and musicians.
-
C.
Chadlia
Chadlia is a feminine given name most notably borne by Chadlia Saïda Farhat, the former First Lady of Tunisia.
-
D.
Bechloul
Bechloul is a town and commune located in northern Algeria within the Bouira Province.
-
E.
Chirine
Chirine is a family name of likely Middle Eastern origin, associated with individuals such as Ismail Chirine.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2f9ba48190996b4c3926728c03 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.