Triple
T20417761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raima Sen |
E500756
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Chalo Dilli
Chalo Dilli is a 2011 Hindi road-comedy film following an unlikely journey of two mismatched travelers across India.
|
E1170610
|
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: Chalo Dilli | Statement: [Raima Sen, notableWork, Chalo Dilli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chalo Dilli Context triple: [Raima Sen, notableWork, Chalo Dilli]
-
A.
Chalo Dilli
Chalo Dilli is a 2011 Hindi road-comedy film starring Lara Dutta and Vinay Pathak that follows an unlikely duo on a chaotic journey from Jaipur to Delhi.
-
B.
Dilwaala
Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
-
C.
Bawani Chali
Bawani Chali is a neighborhood locality situated within the town of SITE Town.
-
D.
Bhagam Bhag
Bhagam Bhag is a 2006 Indian Hindi-language comedy film directed by Priyadarshan, known for its slapstick humor and ensemble cast including Akshay Kumar, Govinda, and Lara Dutta.
-
E.
Chennai Express
Chennai Express is a 2013 Indian action-comedy film directed by Rohit Shetty, known for its blend of romance, humor, and high-energy spectacle as a man’s journey to Rameswaram turns into a chaotic adventure.
- 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: Chalo Dilli Triple: [Raima Sen, notableWork, Chalo Dilli]
Generated description
Chalo Dilli is a 2011 Hindi road-comedy film following an unlikely journey of two mismatched travelers across India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chalo Dilli Target entity description: Chalo Dilli is a 2011 Hindi road-comedy film following an unlikely journey of two mismatched travelers across India.
-
A.
Chalo Dilli
chosen
Chalo Dilli is a 2011 Hindi road-comedy film starring Lara Dutta and Vinay Pathak that follows an unlikely duo on a chaotic journey from Jaipur to Delhi.
-
B.
Dilwaala
Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
-
C.
Bawani Chali
Bawani Chali is a neighborhood locality situated within the town of SITE Town.
-
D.
Bhagam Bhag
Bhagam Bhag is a 2006 Indian Hindi-language comedy film directed by Priyadarshan, known for its slapstick humor and ensemble cast including Akshay Kumar, Govinda, and Lara Dutta.
-
E.
Chennai Express
Chennai Express is a 2013 Indian action-comedy film directed by Rohit Shetty, known for its blend of romance, humor, and high-energy spectacle as a man’s journey to Rameswaram turns into a chaotic adventure.
- F. None of above.
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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b2a2c0c8190a47ee3b49c51de45 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088017be588190ab94b8180e44ebf4 |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880c45e1081908f439ade0c31a47e |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:30 a.m.