Triple
T11022901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamal Bose |
E260534
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Prem Patra
Prem Patra is a classic Hindi film best known for its evocative cinematography by renowned Indian cinematographer Kamal Bose.
|
E900392
|
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: Prem Patra | Statement: [Kamal Bose, notableWork, Prem Patra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prem Patra Context triple: [Kamal Bose, notableWork, Prem Patra]
-
A.
Guman Chand Patwa
Guman Chand Patwa was a wealthy 19th-century Jain merchant from Jaisalmer, India, known for commissioning the ornate Patwon Ki Haveli complex.
-
B.
Pramanta
Pramanta is a mountain village in the Tzoumerka region of Epirus, Greece, known for its traditional architecture and scenic natural surroundings.
-
C.
Swaralipi
Swaralipi is a significant literary and musical work by Bengali polymath Dwijendranath Tagore, reflecting his contributions to early modern Bengali culture and aesthetics.
-
D.
Padada
Padada is a coastal agricultural municipality in the province of Davao del Sur on the island of Mindanao in the Philippines.
-
E.
Panihati
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
- 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: Prem Patra Triple: [Kamal Bose, notableWork, Prem Patra]
Generated description
Prem Patra is a classic Hindi film best known for its evocative cinematography by renowned Indian cinematographer Kamal Bose.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prem Patra Target entity description: Prem Patra is a classic Hindi film best known for its evocative cinematography by renowned Indian cinematographer Kamal Bose.
-
A.
Guman Chand Patwa
Guman Chand Patwa was a wealthy 19th-century Jain merchant from Jaisalmer, India, known for commissioning the ornate Patwon Ki Haveli complex.
-
B.
Pramanta
Pramanta is a mountain village in the Tzoumerka region of Epirus, Greece, known for its traditional architecture and scenic natural surroundings.
-
C.
Swaralipi
Swaralipi is a significant literary and musical work by Bengali polymath Dwijendranath Tagore, reflecting his contributions to early modern Bengali culture and aesthetics.
-
D.
Padada
Padada is a coastal agricultural municipality in the province of Davao del Sur on the island of Mindanao in the Philippines.
-
E.
Panihati
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bd88188190a644adc9283cabb8 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3750917d481909e73de0bfae27827 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e37ab860f48190808ba0076cfa9c98 |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3864dd0d48190b3fd81381f5d7418 |
completed | April 18, 2026, 1:25 p.m. |
Created at: April 8, 2026, 9:25 p.m.