Triple
T5640810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Montana |
E124260
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Karim Kharbouch
Karim Kharbouch is the Moroccan-American rapper, singer, and songwriter better known by his stage name French Montana.
|
E536499
|
NE FINISHED |
How this triple was built (4 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 Kharbouch | Statement: [French Montana, birthName, Karim Kharbouch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karim Kharbouch Context triple: [French Montana, birthName, Karim Kharbouch]
-
A.
Mohamed Ennaceur
Mohamed Ennaceur is a Tunisian politician who served as interim President of Tunisia in 2019 following the death of President Beji Caid Essebsi.
-
B.
Beni Khalled
Beni Khalled is a town in northeastern Tunisia known for its agricultural production, particularly citrus fruits, within the Nabeul region.
-
C.
Mohamed Ridouani
Mohamed Ridouani is a Belgian politician who serves as the mayor of the city of Leuven.
-
D.
Hamadi Jebali
Hamadi Jebali is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
-
E.
Omar Ben Hassen
Omar Ben Hassen is an American poet and spoken-word artist best known as a key member of the politically charged, pioneering hip-hop precursor group The Last Poets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Karim Kharbouch Triple: [French Montana, birthName, Karim Kharbouch]
Generated description
Karim Kharbouch is the Moroccan-American rapper, singer, and songwriter better known by his stage name French Montana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karim Kharbouch Target entity description: Karim Kharbouch is the Moroccan-American rapper, singer, and songwriter better known by his stage name French Montana.
-
A.
Mohamed Ennaceur
Mohamed Ennaceur is a Tunisian politician who served as interim President of Tunisia in 2019 following the death of President Beji Caid Essebsi.
-
B.
Beni Khalled
Beni Khalled is a town in northeastern Tunisia known for its agricultural production, particularly citrus fruits, within the Nabeul region.
-
C.
Mohamed Ridouani
Mohamed Ridouani is a Belgian politician who serves as the mayor of the city of Leuven.
-
D.
Hamadi Jebali
Hamadi Jebali is a Tunisian politician and former prime minister who played a key role in the country’s post-Arab Spring transitional government.
-
E.
Omar Ben Hassen
Omar Ben Hassen is an American poet and spoken-word artist best known as a key member of the politically charged, pioneering hip-hop precursor group The Last Poets.
- F. None of above. chosen
Provenance (5 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02286a14481908703ec1741343b76 |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d780e988190af0efdc6cc17b72e |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e8b548c81908adaf54bbe25af35 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f4c1e34819093e60870c87c8d99 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:41 p.m.