Triple
T19462161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abhishek Banerjee |
E486899
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Abhishek Banerjee |
—
|
NE NERFINISHED |
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: Abhishek Banerjee | Statement: [Abhishek Banerjee, name, Abhishek Banerjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abhishek Banerjee Context triple: [Abhishek Banerjee, name, Abhishek Banerjee]
-
A.
Abhishek Banerjee
chosen
Abhishek Banerjee is an Indian politician and prominent leader from West Bengal, widely recognized as a key figure in the All India Trinamool Congress and the nephew of party chief Mamata Banerjee.
-
B.
Abinash Bhattacharya
Abinash Bhattacharya was an Indian revolutionary associated with the Berlin Committee, which worked to secure foreign support for India’s independence during World War I.
-
C.
Abhijit Mukherjee
Abhijit Mukherjee is an Indian politician and former Member of Parliament, known as the son of former President of India Pranab Mukherjee.
-
D.
Kanu Banerjee
Kanu Banerjee was an Indian actor best known for playing Apu’s father, Harihar Ray, in Satyajit Ray’s acclaimed Apu Trilogy.
-
E.
Sanjay Banerji
Sanjay Banerji is an economist and academic recognized for his scholarly contributions associated with the Delhi School of Economics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633cd6c148190933b4d6bfe84cbe1 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.