Triple
T7660395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meghe Dhaka Tara |
E173488
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Ramesh Joshi
Ramesh Joshi is a film editor known for his work on the Indian movie "Meghe Dhaka Tara."
|
E685442
|
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: Ramesh Joshi | Statement: [Meghe Dhaka Tara, editedBy, Ramesh Joshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramesh Joshi Context triple: [Meghe Dhaka Tara, editedBy, Ramesh Joshi]
-
A.
Vijay Joshi
Vijay Joshi is an Indian economist known for his influential work on macroeconomic policy and development, particularly in the context of the Indian economy.
-
B.
Aravind Joshi
Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
-
C.
Dinesh Gupta
Dinesh Gupta was an Indian revolutionary freedom fighter known for his role in the anti-colonial struggle against British rule in Bengal.
-
D.
Satish Jain
Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
-
E.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
- 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: Ramesh Joshi Triple: [Meghe Dhaka Tara, editedBy, Ramesh Joshi]
Generated description
Ramesh Joshi is a film editor known for his work on the Indian movie "Meghe Dhaka Tara."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramesh Joshi Target entity description: Ramesh Joshi is a film editor known for his work on the Indian movie "Meghe Dhaka Tara."
-
A.
Vijay Joshi
Vijay Joshi is an Indian economist known for his influential work on macroeconomic policy and development, particularly in the context of the Indian economy.
-
B.
Aravind Joshi
Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
-
C.
Dinesh Gupta
Dinesh Gupta was an Indian revolutionary freedom fighter known for his role in the anti-colonial struggle against British rule in Bengal.
-
D.
Satish Jain
Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
-
E.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a47a5c8190867e39f552c86787 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be1db7548190a6a6d280922a195d |
completed | March 29, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69c8bef91cf081908d9d9c689c918905 |
completed | March 29, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8bf5aa1348190a5c369bece6fb6db |
completed | March 29, 2026, 5:57 a.m. |
Created at: March 27, 2026, 3:59 p.m.