Triple
T17038898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moncef Marzouki |
E413390
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Moncef |
E413390
|
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: Moncef | Statement: [Moncef Marzouki, givenName, Moncef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moncef Context triple: [Moncef Marzouki, givenName, Moncef]
-
A.
Moncef
chosen
Moncef is a masculine given name of Arabic origin commonly used in North African countries.
-
B.
Mounir
Mounir is a masculine given name of Arabic origin, commonly used in various Arabic-speaking and Muslim-majority countries.
-
C.
Belhamed
Belhamed is a locality in Libya that was the site of significant fighting during World War II’s North African campaign.
-
D.
Menzel Bouzelfa
Menzel Bouzelfa is a town in northeastern Tunisia known for its agricultural activity and location within the Nabeul region on the Cap Bon peninsula.
-
E.
Beni Bouayach
Beni Bouayach is a town in northern Morocco located in the Rif region near the city of Al Hoceima.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f45f84819092cfb27cc33da026 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012338a95c8190951db96209edb61a |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.