Triple
T8564910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suriya |
E202778
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object |
Sudha Kongara
Sudha Kongara is an Indian film director and screenwriter best known for the critically acclaimed Tamil film "Soorarai Pottru."
|
E742920
|
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: Sudha Kongara | Statement: [Suriya, workedWith, Sudha Kongara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudha Kongara Context triple: [Suriya, workedWith, Sudha Kongara]
-
A.
Parvati Nair
Parvati Nair is an Indian actress and model known for her work in South Indian cinema, particularly in Malayalam and Tamil films.
-
B.
Prema Kanasugalu
Prema Kanasugalu is a notable literary work by renowned Kannada writer and Jnanpith awardee Shivarama Karanth.
-
C.
Kumudavathi
Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
-
D.
Meena Khadikar
Meena Khadikar is an Indian playback singer and composer, known for her work in Marathi and Hindi music and as a member of the renowned Mangeshkar musical family.
-
E.
Parvathi Krishnan
Parvathi Krishnan was an Indian communist politician and parliamentarian known for her long association with the Communist Party of India and her advocacy for workers’ and women’s rights.
- 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: Sudha Kongara Triple: [Suriya, workedWith, Sudha Kongara]
Generated description
Sudha Kongara is an Indian film director and screenwriter best known for the critically acclaimed Tamil film "Soorarai Pottru."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sudha Kongara Target entity description: Sudha Kongara is an Indian film director and screenwriter best known for the critically acclaimed Tamil film "Soorarai Pottru."
-
A.
Parvati Nair
Parvati Nair is an Indian actress and model known for her work in South Indian cinema, particularly in Malayalam and Tamil films.
-
B.
Prema Kanasugalu
Prema Kanasugalu is a notable literary work by renowned Kannada writer and Jnanpith awardee Shivarama Karanth.
-
C.
Kumudavathi
Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
-
D.
Meena Khadikar
Meena Khadikar is an Indian playback singer and composer, known for her work in Marathi and Hindi music and as a member of the renowned Mangeshkar musical family.
-
E.
Parvathi Krishnan
Parvathi Krishnan was an Indian communist politician and parliamentarian known for her long association with the Communist Party of India and her advocacy for workers’ and women’s rights.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89677888819091dfda14ce6baef3 |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8c10d774819086437ffeeb1ef25d |
completed | April 2, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d0064fc819095058293e4229f25 |
completed | April 2, 2026, 3:36 p.m. |
Created at: March 30, 2026, 6:20 p.m.