Triple
T22433126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Vinglish |
E554546
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Shivansh Kotia
Shivansh Kotia is an Indian child actor best known for his role in the film "English Vinglish" and appearances in popular Hindi television shows.
|
E1536925
|
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: Shivansh Kotia | Statement: [English Vinglish, starring, Shivansh Kotia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shivansh Kotia Context triple: [English Vinglish, starring, Shivansh Kotia]
-
A.
Shivam Tewari
Shivam Tewari is an Indian photographer known publicly as the husband of actress and model Riya Sen.
-
B.
Aarav Kumar
Aarav Kumar is the son of Indian author and former actress Twinkle Khanna and Bollywood actor Akshay Kumar.
-
C.
Ishan Arya
Ishan Arya was an Indian cinematographer best known for his influential work in parallel cinema, particularly in landmark films of the 1970s.
-
D.
Varun Krishna
Varun Krishna is a business executive known for his leadership role at Rocket Companies, Inc., a major U.S.-based fintech and mortgage lending firm.
-
E.
Vivaan Shah
Vivaan Shah is an Indian film actor known for his roles in Hindi cinema and as the son of acclaimed actor Naseeruddin Shah.
- 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: Shivansh Kotia Triple: [English Vinglish, starring, Shivansh Kotia]
Generated description
Shivansh Kotia is an Indian child actor best known for his role in the film "English Vinglish" and appearances in popular Hindi television shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shivansh Kotia Target entity description: Shivansh Kotia is an Indian child actor best known for his role in the film "English Vinglish" and appearances in popular Hindi television shows.
-
A.
Shivam Tewari
Shivam Tewari is an Indian photographer known publicly as the husband of actress and model Riya Sen.
-
B.
Aarav Kumar
Aarav Kumar is the son of Indian author and former actress Twinkle Khanna and Bollywood actor Akshay Kumar.
-
C.
Ishan Arya
Ishan Arya was an Indian cinematographer best known for his influential work in parallel cinema, particularly in landmark films of the 1970s.
-
D.
Varun Krishna
Varun Krishna is a business executive known for his leadership role at Rocket Companies, Inc., a major U.S.-based fintech and mortgage lending firm.
-
E.
Vivaan Shah
Vivaan Shah is an Indian film actor known for his roles in Hindi cinema and as the son of acclaimed actor Naseeruddin Shah.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c6ba6c48190961dd15f495f98c0 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d3a0040819088ecd28b64478e3f |
completed | May 18, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0dd04094819095653ada8483ba77 |
completed | May 18, 2026, 1:02 p.m. |
Created at: April 16, 2026, 8:47 p.m.