Triple
T8063599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirshendu Mukhopadhyay |
E188185
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Ananda Puraskar |
E644279
|
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: Ananda Puraskar | Statement: [Shirshendu Mukhopadhyay, awardReceived, Ananda Puraskar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ananda Puraskar Context triple: [Shirshendu Mukhopadhyay, awardReceived, Ananda Puraskar]
-
A.
Ananda Puraskar
chosen
Ananda Puraskar is a prestigious Bengali literary award presented annually to honor outstanding contributions to Bengali literature.
-
B.
Saraswati Samman
Saraswati Samman is a prestigious Indian literary award presented annually for outstanding prose or poetry works in any of the major Indian languages.
-
C.
Bankim Puraskar
Bankim Puraskar is a prestigious literary award from West Bengal, India, given for outstanding works in Bengali literature.
-
D.
Sahitya Sangskriti Puraskar
Sahitya Sangskriti Puraskar is a Bangladeshi literary award recognizing significant contributions to literature and cultural writing.
-
E.
Sahitya Akademi Award
The Sahitya Akademi Award is one of India’s most prestigious literary honors, presented annually to writers for outstanding works in the country’s various recognized languages.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fce95f08190b803956a20082e95 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6769c6948190805188b09c16bed4 |
completed | April 1, 2026, 6:43 p.m. |
Created at: March 30, 2026, 5:26 p.m.