Triple
T22111381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramayan (TV series) |
E546425
|
entity |
| Predicate | leadActress |
P6108
|
FINISHED |
| Object |
Deepika Chikhalia
Deepika Chikhalia is an Indian actress best known for portraying the role of Sita in the iconic television adaptation of the Hindu epic Ramayan.
|
E1547166
|
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: Deepika Chikhalia | Statement: [Ramayan (TV series), leadActress, Deepika Chikhalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deepika Chikhalia Context triple: [Ramayan (TV series), leadActress, Deepika Chikhalia]
-
A.
Bhumika Chawla
Bhumika Chawla is an Indian actress known for her work in Hindi, Telugu, and Tamil films, including notable roles in movies like "Tere Naam" and "Gandhi, My Father."
-
B.
Meghna Kapoor
Meghna Kapoor is known as the wife of Indian actor and filmmaker Rajat Kapoor.
-
C.
Kavita Rao
Kavita Rao is a fictional geneticist in the X-Men universe known for developing a controversial "cure" for mutant powers.
-
D.
Neha Dhupia
Neha Dhupia is an Indian actress and former Miss India who has appeared in numerous Bollywood films and television shows.
-
E.
Sanah Kapur
Sanah Kapur is an Indian actress known for her supporting role in the film "Shaandaar" and for being part of the Kapur film family.
- 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: Deepika Chikhalia Triple: [Ramayan (TV series), leadActress, Deepika Chikhalia]
Generated description
Deepika Chikhalia is an Indian actress best known for portraying the role of Sita in the iconic television adaptation of the Hindu epic Ramayan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deepika Chikhalia Target entity description: Deepika Chikhalia is an Indian actress best known for portraying the role of Sita in the iconic television adaptation of the Hindu epic Ramayan.
-
A.
Bhumika Chawla
Bhumika Chawla is an Indian actress known for her work in Hindi, Telugu, and Tamil films, including notable roles in movies like "Tere Naam" and "Gandhi, My Father."
-
B.
Meghna Kapoor
Meghna Kapoor is known as the wife of Indian actor and filmmaker Rajat Kapoor.
-
C.
Kavita Rao
Kavita Rao is a fictional geneticist in the X-Men universe known for developing a controversial "cure" for mutant powers.
-
D.
Neha Dhupia
Neha Dhupia is an Indian actress and former Miss India who has appeared in numerous Bollywood films and television shows.
-
E.
Sanah Kapur
Sanah Kapur is an Indian actress known for her supporting role in the film "Shaandaar" and for being part of the Kapur film family.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b58463ae481908cc49d6b525470b1 |
completed | May 18, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_6a0b6f5b85548190bd54f5a13dd27c5d |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b706cba28819091d40e7832e61f97 |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 16, 2026, 8:31 p.m.