Triple
T16588988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjay Leela Bhansali |
E403032
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object |
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.
|
E1223151
|
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: Rowdy Rathore | Statement: [Sanjay Leela Bhansali, produced, Rowdy Rathore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rowdy Rathore Context triple: [Sanjay Leela Bhansali, produced, Rowdy Rathore]
-
A.
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.
-
B.
Kallar
Kallar is a river in the Indian state of Kerala known for feeding into the Pamba River and flowing through forested, hilly terrain.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Jawani Diwani
Jawani Diwani is a 1972 Hindi romantic comedy film starring Randhir Kapoor and Jaya Bhaduri, known for its youthful love story and popular music.
-
E.
Bundal Baaz
Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
- 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: Rowdy Rathore Triple: [Sanjay Leela Bhansali, produced, Rowdy Rathore]
Generated description
Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rowdy Rathore Target entity description: Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
-
A.
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.
-
B.
Kallar
Kallar is a river in the Indian state of Kerala known for feeding into the Pamba River and flowing through forested, hilly terrain.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Jawani Diwani
Jawani Diwani is a 1972 Hindi romantic comedy film starring Randhir Kapoor and Jaya Bhaduri, known for its youthful love story and popular music.
-
E.
Bundal Baaz
Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599e79288190b6bcdb6fe4a2d1fa |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007599dcd4819089bbd0569b3d9a12 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a0079bf50dc8190a20057ef8a738e1d |
completed | May 10, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007a34b42081908a77a3913c40377f |
completed | May 10, 2026, 12:29 p.m. |
Created at: April 10, 2026, 5:16 a.m.