Triple
T7957824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarashankar Bandyopadhyay |
E184783
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kalindi
Kalindi is a notable literary work by renowned Bengali novelist Tarashankar Bandyopadhyay.
|
E702429
|
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: Kalindi | Statement: [Tarashankar Bandyopadhyay, notableWork, Kalindi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalindi Context triple: [Tarashankar Bandyopadhyay, notableWork, Kalindi]
-
A.
Saraswati
Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
-
B.
Walawe Ganga
Walawe Ganga is a major river in southern Sri Lanka known for irrigating agricultural lands and supporting hydropower and wildlife habitats along its course.
-
C.
Kelani Ganga
Kelani Ganga is a major river in Sri Lanka that flows from the central highlands to the western coast, playing a key role in hydropower generation, water supply, and transport.
-
D.
Amban Ganga
Amban Ganga is a river in Sri Lanka that serves as a significant tributary within the country’s central river system.
-
E.
Mata Ganga
Mata Ganga was the wife of the fifth Sikh Guru, Guru Arjan Dev, and the mother of Guru Hargobind, playing a respected role in early Sikh history.
- 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: Kalindi Triple: [Tarashankar Bandyopadhyay, notableWork, Kalindi]
Generated description
Kalindi is a notable literary work by renowned Bengali novelist Tarashankar Bandyopadhyay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalindi Target entity description: Kalindi is a notable literary work by renowned Bengali novelist Tarashankar Bandyopadhyay.
-
A.
Saraswati
Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
-
B.
Walawe Ganga
Walawe Ganga is a major river in southern Sri Lanka known for irrigating agricultural lands and supporting hydropower and wildlife habitats along its course.
-
C.
Kelani Ganga
Kelani Ganga is a major river in Sri Lanka that flows from the central highlands to the western coast, playing a key role in hydropower generation, water supply, and transport.
-
D.
Amban Ganga
Amban Ganga is a river in Sri Lanka that serves as a significant tributary within the country’s central river system.
-
E.
Mata Ganga
Mata Ganga was the wife of the fifth Sikh Guru, Guru Arjan Dev, and the mother of Guru Hargobind, playing a respected role in early Sikh history.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7ebb24819094bc011d51ef63fb |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe072ef4c8190a8e078c5280913db |
completed | March 31, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69cbe43a45b48190b2bdc793f2bd3264 |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc11c673d88190b2796fb6efac6b09 |
completed | March 31, 2026, 6:26 p.m. |
Created at: March 30, 2026, 5:11 p.m.