Triple
T13995029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rishi Rich |
E336672
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Aaja Mahi
"Aaja Mahi" is a popular Punjabi-influenced R&B/Bhangra track produced by British-Indian music producer Rishi Rich, known for its catchy fusion sound and dance appeal.
|
E1074148
|
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: Aaja Mahi | Statement: [Rishi Rich, notableWork, Aaja Mahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaja Mahi Context triple: [Rishi Rich, notableWork, Aaja Mahi]
-
A.
Joola
Joola is a Niger–Congo language spoken primarily by the Jola people of Senegal and neighboring regions in West Africa.
-
B.
Aasai
Aasai is a 1995 Tamil romantic thriller film that gained widespread recognition for its gripping storyline and for significantly boosting actor Ajith Kumar’s early career.
-
C.
Mahiwal
Mahiwal is the tragic lover in the Punjabi folktale "Sohni Mahiwal," renowned for his unwavering devotion to Sohni.
-
D.
Ommen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
-
E.
Kaala
Kaala is a 2018 Indian Tamil-language action drama film starring Rajinikanth as a slum leader fighting for the rights of oppressed people in Mumbai.
- 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: Aaja Mahi Triple: [Rishi Rich, notableWork, Aaja Mahi]
Generated description
"Aaja Mahi" is a popular Punjabi-influenced R&B/Bhangra track produced by British-Indian music producer Rishi Rich, known for its catchy fusion sound and dance appeal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aaja Mahi Target entity description: "Aaja Mahi" is a popular Punjabi-influenced R&B/Bhangra track produced by British-Indian music producer Rishi Rich, known for its catchy fusion sound and dance appeal.
-
A.
Joola
Joola is a Niger–Congo language spoken primarily by the Jola people of Senegal and neighboring regions in West Africa.
-
B.
Aasai
Aasai is a 1995 Tamil romantic thriller film that gained widespread recognition for its gripping storyline and for significantly boosting actor Ajith Kumar’s early career.
-
C.
Mahiwal
Mahiwal is the tragic lover in the Punjabi folktale "Sohni Mahiwal," renowned for his unwavering devotion to Sohni.
-
D.
Ommen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
-
E.
Kaala
Kaala is a 2018 Indian Tamil-language action drama film starring Rajinikanth as a slum leader fighting for the rights of oppressed people in Mumbai.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9d4a54819091c7efbeb4dcc5f7 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbadc6cb2c8190bdf66ad1fa6dd392 |
completed | May 6, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb01071408190a85e5e9be0150593 |
completed | May 6, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:19 p.m.