Triple
T21110560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deepti Naval |
E520159
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kamla
"Kamla" is a critically acclaimed Indian film featuring Deepti Naval that explores themes of human trafficking and exploitation.
|
E1467887
|
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: Kamla | Statement: [Deepti Naval, notableWork, Kamla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamla Context triple: [Deepti Naval, notableWork, Kamla]
-
A.
Pramila
Pramila is a prominent female warrior character in the Bengali epic poem "Meghnad Badh Kavya," known for her valor and tragic role in the retelling of the Ramayana.
-
B.
Babita Kumari
Babita Kumari is a central wrestler character in the Indian sports drama film "Dangal," inspired by the real-life Phogat sisters and their journey in competitive wrestling.
-
C.
Brinda
Brinda is a feminine given name, often considered a variant of Brenda, used in various cultures.
-
D.
Pramila Devi
Pramila Devi was the wife of renowned Bengali poet, musician, and revolutionary Kazi Nazrul Islam.
-
E.
Shyamala
Shyamala is an Indian-origin female given name commonly used in South Asia.
- 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: Kamla Triple: [Deepti Naval, notableWork, Kamla]
Generated description
"Kamla" is a critically acclaimed Indian film featuring Deepti Naval that explores themes of human trafficking and exploitation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamla Target entity description: "Kamla" is a critically acclaimed Indian film featuring Deepti Naval that explores themes of human trafficking and exploitation.
-
A.
Pramila
Pramila is a prominent female warrior character in the Bengali epic poem "Meghnad Badh Kavya," known for her valor and tragic role in the retelling of the Ramayana.
-
B.
Babita Kumari
Babita Kumari is a central wrestler character in the Indian sports drama film "Dangal," inspired by the real-life Phogat sisters and their journey in competitive wrestling.
-
C.
Brinda
Brinda is a feminine given name, often considered a variant of Brenda, used in various cultures.
-
D.
Pramila Devi
Pramila Devi was the wife of renowned Bengali poet, musician, and revolutionary Kazi Nazrul Islam.
-
E.
Shyamala
Shyamala is an Indian-origin female given name commonly used in South Asia.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72101f7308190beb202a052ff04d2 |
completed | April 21, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965e013388190a058d84063e22694 |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a09670987f0819086b021581db69c85 |
completed | May 17, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0967cefab08190b01e2c897f081105 |
completed | May 17, 2026, 7:01 a.m. |
Created at: April 16, 2026, 2:54 p.m.