Triple
T21735042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karim Kharbouch |
E536500
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Karim |
—
|
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: Karim | Statement: [Karim Kharbouch, hasGivenName, Karim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karim Context triple: [Karim Kharbouch, hasGivenName, Karim]
-
A.
Karim
Karim is a French professional footballer widely recognized as one of the most prolific strikers of his generation.
-
B.
Karim
Karim is the given first name of American actor and tap dancer Dulé Hill.
-
C.
Karim
chosen
Karim is the birth name of Moroccan-American rapper and producer French Montana.
-
D.
Karim
Karim is a surname most prominently associated with Jawed Karim, the computer scientist and entrepreneur who co-founded YouTube.
-
E.
Karim
Karim is a masculine given name of Arabic origin commonly used across the Middle East, North Africa, and Muslim communities worldwide.
- 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.