Triple
T14806700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cours Florent |
E348055
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | Gad Elmaleh |
E1100707
|
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: Gad Elmaleh | Statement: [Cours Florent, notableAlumni, Gad Elmaleh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gad Elmaleh Context triple: [Cours Florent, notableAlumni, Gad Elmaleh]
-
A.
Gad Elmaleh
chosen
Gad Elmaleh is a French-Moroccan stand-up comedian and actor renowned for his popular one-man shows and leading roles in French cinema.
-
B.
Arie Elmaleh
Arie Elmaleh is a French actor and comedian, known for his work in film, television, and theater.
-
C.
Jamel Debbouze
Jamel Debbouze is a French-Moroccan comedian and actor known for his energetic stand-up performances and prominent roles in popular French films such as "Amélie" and "Asterix & Obelix: Mission Cleopatra."
-
D.
Nadim Sawalha
Nadim Sawalha is a Jordanian-British actor known for his character roles in film and television, including appearances in James Bond movies and various British dramas.
-
E.
Elyes Gabel
Elyes Gabel is a British actor known for roles in series such as "Game of Thrones," "Scorpion," and various UK television dramas.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:40 a.m.