Triple
T17262809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadiki College |
E419047
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Mohamed Mzali |
—
|
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: Mohamed Mzali | Statement: [Sadiki College, hasAlumnus, Mohamed Mzali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohamed Mzali Context triple: [Sadiki College, hasAlumnus, Mohamed Mzali]
-
A.
Mohamed Mzali
chosen
Mohamed Mzali was a prominent Tunisian politician who served as Prime Minister in the 1980s and played a key role in the country’s post-independence governance.
-
B.
Ahmed Ben Salah
Ahmed Ben Salah was a prominent Tunisian politician and trade unionist known for leading ambitious state-led economic and social reforms in the 1960s.
-
C.
Chadli Bendjedid
Chadli Bendjedid was the third President of Algeria, known for initiating political and economic liberalization after years of single-party rule.
-
D.
Menzel Bourguiba
Menzel Bourguiba is an industrial town in northern Tunisia known historically for its shipbuilding and naval base on Lake Bizerte.
-
E.
Moncef Marzouki
Moncef Marzouki is a Tunisian physician, human rights activist, and politician who served as Tunisia’s first president after the 2011 revolution.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4379848190add32ba8e5f93527 |
completed | April 19, 2026, 1:26 a.m. |
Created at: April 10, 2026, 5:40 a.m.