Triple
T7772179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapan Sinha |
E179098
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Louha-Kapat
Louha-Kapat is a Bengali film directed by acclaimed Indian filmmaker Tapan Sinha, known for its socially conscious storytelling and realistic portrayal of contemporary issues.
|
E687310
|
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: Louha-Kapat | Statement: [Tapan Sinha, notableWork, Louha-Kapat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louha-Kapat Context triple: [Tapan Sinha, notableWork, Louha-Kapat]
-
A.
Hulontalo
Hulontalo is an alternative name for the Gorontalo language, an Austronesian language spoken primarily in the Gorontalo region of northern Sulawesi, Indonesia.
-
B.
Lautoka
Lautoka is Fiji's second-largest city, located on the western coast of Viti Levu and known as a major port and center of the country's sugar industry.
-
C.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
D.
Lutakko
Lutakko is a central lakeside district of Jyväskylä, Finland, known for its modern residential areas, event venues, and the annual Jyväskylä Rock Festival.
-
E.
Laukahi
Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
- 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: Louha-Kapat Triple: [Tapan Sinha, notableWork, Louha-Kapat]
Generated description
Louha-Kapat is a Bengali film directed by acclaimed Indian filmmaker Tapan Sinha, known for its socially conscious storytelling and realistic portrayal of contemporary issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louha-Kapat Target entity description: Louha-Kapat is a Bengali film directed by acclaimed Indian filmmaker Tapan Sinha, known for its socially conscious storytelling and realistic portrayal of contemporary issues.
-
A.
Hulontalo
Hulontalo is an alternative name for the Gorontalo language, an Austronesian language spoken primarily in the Gorontalo region of northern Sulawesi, Indonesia.
-
B.
Lautoka
Lautoka is Fiji's second-largest city, located on the western coast of Viti Levu and known as a major port and center of the country's sugar industry.
-
C.
Lalsalu
Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
-
D.
Lutakko
Lutakko is a central lakeside district of Jyväskylä, Finland, known for its modern residential areas, event venues, and the annual Jyväskylä Rock Festival.
-
E.
Laukahi
Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7046048688190a6cbc64e82b58eca |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ee407881908e591d216c504b24 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b75b848190a67de2040d563f86 |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c941814081909d299df5cd714c71 |
completed | March 29, 2026, 6:40 a.m. |
Created at: March 27, 2026, 4:11 p.m.