Triple
T3848560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangal Pandey: The Rising |
E85233
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Bobby Bedi
Bobby Bedi is an Indian film producer known for backing acclaimed and ambitious Hindi films, including historical and socially themed projects.
|
E395039
|
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: Bobby Bedi | Statement: [Mangal Pandey: The Rising, producer, Bobby Bedi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Bedi Context triple: [Mangal Pandey: The Rising, producer, Bobby Bedi]
-
A.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
-
B.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
C.
Amarjeet Sohi
Amarjeet Sohi is a Canadian politician who serves as the mayor of Edmonton and is a former federal cabinet minister.
-
D.
Asheem Chandna
Asheem Chandna is a prominent venture capitalist known for investing in and advising leading enterprise technology and cybersecurity startups.
-
E.
Neal Mohan
Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
- 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: Bobby Bedi Triple: [Mangal Pandey: The Rising, producer, Bobby Bedi]
Generated description
Bobby Bedi is an Indian film producer known for backing acclaimed and ambitious Hindi films, including historical and socially themed projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bobby Bedi Target entity description: Bobby Bedi is an Indian film producer known for backing acclaimed and ambitious Hindi films, including historical and socially themed projects.
-
A.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
-
B.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
C.
Amarjeet Sohi
Amarjeet Sohi is a Canadian politician who serves as the mayor of Edmonton and is a former federal cabinet minister.
-
D.
Asheem Chandna
Asheem Chandna is a prominent venture capitalist known for investing in and advising leading enterprise technology and cybersecurity startups.
-
E.
Neal Mohan
Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcc8a0481909c35161336bdfbf9 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5122eb2708190b1aa9da233481015 |
completed | March 14, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69b512b8f13881909a264439f9cbea24 |
completed | March 14, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51339ee948190a7c9ab3c5eb106da |
completed | March 14, 2026, 7:50 a.m. |
Created at: March 9, 2026, 3:19 p.m.