Triple
T21428648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akshay Kumar |
E528625
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Main Khiladi Tu Anari
Main Khiladi Tu Anari is a 1994 Hindi action-comedy film starring Akshay Kumar and Saif Ali Khan, known for its blend of cop drama, humor, and popular music.
|
E1484161
|
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: Main Khiladi Tu Anari | Statement: [Akshay Kumar, notableWork, Main Khiladi Tu Anari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Khiladi Tu Anari Context triple: [Akshay Kumar, notableWork, Main Khiladi Tu Anari]
-
A.
Khela
Khela is an Indian Bengali film featuring actress Raima Sen in a prominent role.
-
B.
Mando Khel
Mando Khel is a Pashtun sub-clan belonging to the larger Tareen tribe, traditionally found in regions of Afghanistan and Pakistan.
-
C.
Rowdy Rathore
Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
-
D.
Kallar
Kallar was a prominent ruler of the Hindu Shahi dynasty, known for leading this early medieval Indian kingdom in the northwestern regions of the subcontinent.
-
E.
Kallar
Kallar is a river in the Indian state of Kerala known for feeding into the Pamba River and flowing through forested, hilly terrain.
- 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: Main Khiladi Tu Anari Triple: [Akshay Kumar, notableWork, Main Khiladi Tu Anari]
Generated description
Main Khiladi Tu Anari is a 1994 Hindi action-comedy film starring Akshay Kumar and Saif Ali Khan, known for its blend of cop drama, humor, and popular music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Main Khiladi Tu Anari Target entity description: Main Khiladi Tu Anari is a 1994 Hindi action-comedy film starring Akshay Kumar and Saif Ali Khan, known for its blend of cop drama, humor, and popular music.
-
A.
Khela
Khela is an Indian Bengali film featuring actress Raima Sen in a prominent role.
-
B.
Mando Khel
Mando Khel is a Pashtun sub-clan belonging to the larger Tareen tribe, traditionally found in regions of Afghanistan and Pakistan.
-
C.
Rowdy Rathore
Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
-
D.
Kallar
Kallar was a prominent ruler of the Hindu Shahi dynasty, known for leading this early medieval Indian kingdom in the northwestern regions of the subcontinent.
-
E.
Kallar
Kallar is a river in the Indian state of Kerala known for feeding into the Pamba River and flowing through forested, hilly terrain.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813db52c8190ac933bc6ec4dbf77 |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2aa56b081909ddfc07b7b5fd60e |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c3a036408190a759223303268183 |
completed | May 17, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c49aa5b881908ac2e920684a9fa2 |
completed | May 17, 2026, 1:37 p.m. |
Created at: April 16, 2026, 5:49 p.m.