Triple
T21735061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Montana |
E536501
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kharbouch |
—
|
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: Kharbouch | Statement: [French Montana, familyName, Kharbouch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kharbouch Context triple: [French Montana, familyName, Kharbouch]
-
A.
Kharbouch
chosen
Kharbouch is the family surname of Moroccan-American rapper and entrepreneur French Montana.
-
B.
El Khabouzia
El Khabouzia is a town and commune located in Bouira Province in northern Algeria.
-
C.
Bhamdoun
Bhamdoun is a Lebanese mountain town and popular summer resort known for its scenic views, cool climate, and historic role as a holiday destination near Beirut.
-
D.
El Hadaba
El Hadaba is the famous nickname of Egyptian singer Amr Diab, one of the Arab world's most successful and influential pop music stars.
-
E.
Bordj T'har
Bordj T'har is a town located in northeastern Algeria within Jijel Province, known for its position along the Mediterranean coastal region.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0b0da0819098ef03360eea6a0d |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.