Triple
T22103150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Accidental Prime Minister |
E546218
|
entity |
| Predicate | musicComposer |
P32102
|
FINISHED |
| Object |
Sudip Roy
Sudip Roy is an Indian music composer known for his work on the political drama film "The Accidental Prime Minister."
|
E1524134
|
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: Sudip Roy | Statement: [The Accidental Prime Minister, musicComposer, Sudip Roy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudip Roy Context triple: [The Accidental Prime Minister, musicComposer, Sudip Roy]
-
A.
Sudip Bandyopadhyay
Sudip Bandyopadhyay is an Indian politician and long-time parliamentarian from West Bengal known for his senior leadership role in the Trinamool Congress.
-
B.
Sukhendu Dutta
Sukhendu Dutta is a fictional character from the Indian film "Saat Pake Bandha."
-
C.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
-
D.
Vidydhar Bhattacharya
Vidydhar Bhattacharya was an 18th-century Bengali architect and city planner best known for planning and designing the historic walled city of Jaipur in Rajasthan, India.
-
E.
Sanjib Datta
Sanjib Datta is an Indian film editor best known for his work on acclaimed Hindi films such as the political drama "Maachis."
- 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: Sudip Roy Triple: [The Accidental Prime Minister, musicComposer, Sudip Roy]
Generated description
Sudip Roy is an Indian music composer known for his work on the political drama film "The Accidental Prime Minister."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sudip Roy Target entity description: Sudip Roy is an Indian music composer known for his work on the political drama film "The Accidental Prime Minister."
-
A.
Sudip Bandyopadhyay
Sudip Bandyopadhyay is an Indian politician and long-time parliamentarian from West Bengal known for his senior leadership role in the Trinamool Congress.
-
B.
Sukhendu Dutta
Sukhendu Dutta is a fictional character from the Indian film "Saat Pake Bandha."
-
C.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
-
D.
Vidydhar Bhattacharya
Vidydhar Bhattacharya was an 18th-century Bengali architect and city planner best known for planning and designing the historic walled city of Jaipur in Rajasthan, India.
-
E.
Sanjib Datta
Sanjib Datta is an Indian film editor best known for his work on acclaimed Hindi films such as the political drama "Maachis."
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa5fe88488190b775ff282d8b4e3b |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa6930fa481909bfd0c97f4880804 |
completed | May 18, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa7150e9c81908069369f2075dea5 |
completed | May 18, 2026, 5:43 a.m. |
Created at: April 16, 2026, 8:30 p.m.