Triple
T22292183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shwaas |
E551024
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Vibhawari Deshpande
Vibhawari Deshpande is an Indian actress known for her work in Marathi cinema, theatre, and television.
|
E1540054
|
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: Vibhawari Deshpande | Statement: [Shwaas, castMember, Vibhawari Deshpande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vibhawari Deshpande Context triple: [Shwaas, castMember, Vibhawari Deshpande]
-
A.
P. L. Deshpande
P. L. Deshpande was a celebrated Marathi writer, humorist, actor, and music composer, renowned for his witty literature and contributions to Marathi theatre and cinema.
-
B.
Alok Deshpande
Alok Deshpande is an entrepreneur best known as a co-founder of the location-based social networking startup Loopt.
-
C.
Laxman Utekar
Laxman Utekar is an Indian cinematographer-turned-film director known for his work in Hindi cinema, including directing films like Luka Chuppi and Mimi.
-
D.
Vinayak Deshpande
Vinayak Deshpande was an Indian revolutionary associated with early 20th-century anti-colonial nationalist movements.
-
E.
Achyut Potdar
Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
- 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: Vibhawari Deshpande Triple: [Shwaas, castMember, Vibhawari Deshpande]
Generated description
Vibhawari Deshpande is an Indian actress known for her work in Marathi cinema, theatre, and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vibhawari Deshpande Target entity description: Vibhawari Deshpande is an Indian actress known for her work in Marathi cinema, theatre, and television.
-
A.
P. L. Deshpande
P. L. Deshpande was a celebrated Marathi writer, humorist, actor, and music composer, renowned for his witty literature and contributions to Marathi theatre and cinema.
-
B.
Alok Deshpande
Alok Deshpande is an entrepreneur best known as a co-founder of the location-based social networking startup Loopt.
-
C.
Laxman Utekar
Laxman Utekar is an Indian cinematographer-turned-film director known for his work in Hindi cinema, including directing films like Luka Chuppi and Mimi.
-
D.
Vinayak Deshpande
Vinayak Deshpande was an Indian revolutionary associated with early 20th-century anti-colonial nationalist movements.
-
E.
Achyut Potdar
Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17cbf58481909f01faefd9c561b5 |
completed | May 18, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_6a0b1854c7b081908651595a85843cdc |
completed | May 18, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b18de8f34819093d0a0ca7adb6d8e |
completed | May 18, 2026, 1:49 p.m. |
Created at: April 16, 2026, 8:41 p.m.