Triple
T15418991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regulate... G Funk Era |
E369321
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Mr. Malik
Mr. Malik is an American rapper best known for his guest appearances on classic West Coast G-funk tracks in the 1990s.
|
E1156785
|
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: Mr. Malik | Statement: [Regulate... G Funk Era, featuresArtist, Mr. Malik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Malik Context triple: [Regulate... G Funk Era, featuresArtist, Mr. Malik]
-
A.
Kamal Khan
Kamal Khan is the primary villain and exiled Afghan prince in the James Bond film "Octopussy," known for his role in a nuclear extortion plot against the West.
-
B.
Ilyas Khoja
Ilyas Khoja was a 14th-century khan of Moghulistan, a Chagatai Mongol successor state in Central Asia.
-
C.
Sher Ali
Sher Ali is a common male given name of Pashto and Persian origin, meaning "Lion of Ali" and often associated with Muslim communities in South and Central Asia.
-
D.
Razzak
Razzak was a legendary Bangladeshi film actor, often hailed as "Nayak Raj," who became one of the most iconic and influential stars in Bengali cinema.
-
E.
Mansoor
Mansoor is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple ways including Mansour.
- 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: Mr. Malik Triple: [Regulate... G Funk Era, featuresArtist, Mr. Malik]
Generated description
Mr. Malik is an American rapper best known for his guest appearances on classic West Coast G-funk tracks in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Malik Target entity description: Mr. Malik is an American rapper best known for his guest appearances on classic West Coast G-funk tracks in the 1990s.
-
A.
Kamal Khan
Kamal Khan is the primary villain and exiled Afghan prince in the James Bond film "Octopussy," known for his role in a nuclear extortion plot against the West.
-
B.
Ilyas Khoja
Ilyas Khoja was a 14th-century khan of Moghulistan, a Chagatai Mongol successor state in Central Asia.
-
C.
Sher Ali
Sher Ali is a common male given name of Pashto and Persian origin, meaning "Lion of Ali" and often associated with Muslim communities in South and Central Asia.
-
D.
Razzak
Razzak was a legendary Bangladeshi film actor, often hailed as "Nayak Raj," who became one of the most iconic and influential stars in Bengali cinema.
-
E.
Mansoor
Mansoor is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple ways including Mansour.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7adb848190836fb972bc8744f1 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1bc3aa2c8190b61d21fa78682ea1 |
completed | May 9, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1cbccab48190b9e19b5a09324d8c |
completed | May 9, 2026, 11:38 a.m. |
Created at: April 10, 2026, 3:20 a.m.