Triple
T23135797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firas Zahabi |
E577316
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Firas Zahabi |
—
|
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: Firas Zahabi | Statement: [Firas Zahabi, name, Firas Zahabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firas Zahabi Context triple: [Firas Zahabi, name, Firas Zahabi]
-
A.
Firas Zahabi
chosen
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.
-
B.
Omar Meheshi
Omar Meheshi was a Libyan military officer and political figure who participated in the 1969 coup that brought Muammar Gaddafi to power and later became a prominent dissident against his regime.
-
C.
Saad Haddad
Saad Haddad was a Lebanese militia leader and army officer who founded and commanded the Israeli-backed South Lebanon Army during the Lebanese Civil War.
-
D.
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.
-
E.
Marwan Kenzari
Marwan Kenzari is a Dutch-Tunisian actor known for his roles in international films such as Disney’s live-action Aladdin and various Hollywood thrillers and dramas.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8b694c8190b9ead00ea0576d90 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.