Triple
T14410129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wassim "Sal" Slaiby |
E357300
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wassim Slaiby |
E357300
|
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: Wassim Slaiby | Statement: [Wassim "Sal" Slaiby, name, Wassim Slaiby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wassim Slaiby Context triple: [Wassim "Sal" Slaiby, name, Wassim Slaiby]
-
A.
Wassim "Sal" Slaiby
chosen
Wassim "Sal" Slaiby is a Lebanese-Canadian music executive and talent manager best known for managing The Weeknd and leading the XO music and entertainment empire.
-
B.
Firas Zahabi
Firas Zahabi is a renowned mixed martial arts coach and head trainer at Montreal’s Tristar Gym, best known for guiding the career of UFC legend Georges St-Pierre.
-
C.
Firas Tlass
Firas Tlass is a Syrian businessman and member of the prominent Tlass family, known for his connections to the country’s political and economic elite.
-
D.
Anthony Ghannam
Anthony Ghannam is an American voice actor best known for his role in the animated film "Bambi II."
-
E.
Karim Kharbouch
Karim Kharbouch is the Moroccan-American rapper, singer, and songwriter better known by his stage name French Montana.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c9b3448190aec1608836a5e913 |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55269d8c81909592277741a93db6 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.