Triple
T17152710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Laarayedh |
E416261
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ali Laarayedh |
—
|
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: Ali Laarayedh | Statement: [Ali Laarayedh, name, Ali Laarayedh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ali Laarayedh Context triple: [Ali Laarayedh, name, Ali Laarayedh]
-
A.
Ali Laarayedh
chosen
Ali Laarayedh is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
-
B.
Tarik Azzougarh
Tarik Azzougarh, better known by his stage name Cilvaringz, is a Moroccan-Dutch rapper and producer closely associated with the Wu-Tang Clan.
-
C.
Tarak Ben Ammar
Tarak Ben Ammar is a Tunisian-French film producer and media mogul known for financing and producing numerous international films and working closely with major Hollywood studios and European cinema.
-
D.
Tarik Azzouz
Tarik Azzouz is a music producer known for his work on the project "Born 2 Rap."
-
E.
Mehdi Jomaa
Mehdi Jomaa is a Tunisian engineer and politician who served as Tunisia’s interim prime minister during the country’s post-revolution transitional period.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40861e08190bad1a3ec87691132 |
completed | April 18, 2026, 9:13 p.m. |
Created at: April 10, 2026, 5:36 a.m.