Triple
T20351754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harano Sur |
E496027
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Kali Banerjee
Kali Banerjee was a noted Indian film actor, best remembered for his character roles in Bengali cinema during the mid-20th century.
|
E1427337
|
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: Kali Banerjee | Statement: [Harano Sur, hasCastMember, Kali Banerjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kali Banerjee Context triple: [Harano Sur, hasCastMember, Kali Banerjee]
-
A.
Maya Banerjee
Maya Banerjee is known as the wife of Indian actor Victor Banerjee.
-
B.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
-
C.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
D.
Tara Gandhi Bhattacharjee
Tara Gandhi Bhattacharjee is an Indian peace activist and granddaughter of Mahatma Gandhi, known for her work in promoting non-violence, rural development, and Gandhian values.
-
E.
Neela Rasgotra
Neela Rasgotra is a fictional surgical resident and later attending physician on the medical drama series "ER," known for her intelligence, compassion, and complex personal relationships.
- 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: Kali Banerjee Triple: [Harano Sur, hasCastMember, Kali Banerjee]
Generated description
Kali Banerjee was a noted Indian film actor, best remembered for his character roles in Bengali cinema during the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kali Banerjee Target entity description: Kali Banerjee was a noted Indian film actor, best remembered for his character roles in Bengali cinema during the mid-20th century.
-
A.
Maya Banerjee
Maya Banerjee is known as the wife of Indian actor Victor Banerjee.
-
B.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
-
C.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
D.
Tara Gandhi Bhattacharjee
Tara Gandhi Bhattacharjee is an Indian peace activist and granddaughter of Mahatma Gandhi, known for her work in promoting non-violence, rural development, and Gandhian values.
-
E.
Neela Rasgotra
Neela Rasgotra is a fictional surgical resident and later attending physician on the medical drama series "ER," known for her intelligence, compassion, and complex personal relationships.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08760dba5881908155a4738b19802e |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876a0cb4881908b4f240181c8b9b2 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087710c60081908bc6c61884120ead |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:24 a.m.