Triple
T21110845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girish Kasaravalli |
E520165
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Vaishali Kasaravalli |
—
|
NE NERFINISHED |
How this triple was built (3 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: Vaishali Kasaravalli | Statement: [Girish Kasaravalli, spouse, Vaishali Kasaravalli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaishali Kasaravalli Context triple: [Girish Kasaravalli, spouse, Vaishali Kasaravalli]
-
A.
Sandhini Agarwal
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
-
B.
Bhavna Limbachia
Bhavna Limbachia is a British actress best known for her comedic and dramatic roles on UK television, including prominent parts in series such as Citizen Khan and Coronation Street.
-
C.
Anjali Paigankar
Anjali Paigankar is an Indian actress known for her role in the acclaimed Hindi film "Suraj Ka Satvan Ghoda" directed by Shyam Benegal.
-
D.
Mrunmayee Lagoo
Mrunmayee Lagoo is an Indian actress and filmmaker, known as the daughter of veteran actress Reema Lagoo and for her work in Marathi and Hindi cinema.
-
E.
Pallavi Sharda
Pallavi Sharda is an Australian-Indian actress and classical dancer known for her work in both Bollywood and international films, including the 2021 live-action/animated film "Tom & Jerry."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vaishali Kasaravalli Target entity description: Vaishali Kasaravalli was an Indian actress and costume designer known for her work in Kannada cinema and television.
-
A.
Sandhini Agarwal
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
-
B.
Bhavna Limbachia
Bhavna Limbachia is a British actress best known for her comedic and dramatic roles on UK television, including prominent parts in series such as Citizen Khan and Coronation Street.
-
C.
Anjali Paigankar
Anjali Paigankar is an Indian actress known for her role in the acclaimed Hindi film "Suraj Ka Satvan Ghoda" directed by Shyam Benegal.
-
D.
Mrunmayee Lagoo
Mrunmayee Lagoo is an Indian actress and filmmaker, known as the daughter of veteran actress Reema Lagoo and for her work in Marathi and Hindi cinema.
-
E.
Pallavi Sharda
Pallavi Sharda is an Australian-Indian actress and classical dancer known for her work in both Bollywood and international films, including the 2021 live-action/animated film "Tom & Jerry."
- F. None of above. chosen
Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72101f7308190beb202a052ff04d2 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.