Triple
T9193701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanika Banerjee |
E220650
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Kanika Bandyopadhyay |
E220650
|
NE FINISHED |
How this triple was built (2 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: Kanika Bandyopadhyay | Statement: [Kanika Banerjee, alsoKnownAs, Kanika Bandyopadhyay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanika Bandyopadhyay Context triple: [Kanika Banerjee, alsoKnownAs, Kanika Bandyopadhyay]
-
A.
Kanika Banerjee
chosen
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
-
B.
Sutapa Sikdar
Sutapa Sikdar is an Indian dialogue and screenplay writer best known as the wife of acclaimed actor Irrfan Khan.
-
C.
Labanya Das
Labanya Das was the wife of renowned Bengali poet Jibanananda Das and a figure associated with his personal and literary life.
-
D.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
E.
Sutapa Dasgupta
Sutapa Dasgupta is known as the wife of acclaimed Indian poet and National Award–winning filmmaker Buddhadeb Dasgupta.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c3614c81909e26417e00fdfa11 |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065d5e81c8190b6687999a87fd559 |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:25 p.m.