Triple
T11178345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandrashekhara Kambara |
E264469
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Pampa Award |
E47756
|
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: Pampa Award | Statement: [Chandrashekhara Kambara, awardReceived, Pampa Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pampa Award Context triple: [Chandrashekhara Kambara, awardReceived, Pampa Award]
-
A.
Pampa Award
chosen
The Pampa Award is a prestigious literary honor presented by the Karnataka government to recognize outstanding contributions to Kannada literature.
-
B.
Ananda Puraskar
Ananda Puraskar is a prestigious Bengali literary award presented annually to honor outstanding contributions to Bengali literature.
-
C.
Sahitya Sangskriti Puraskar
Sahitya Sangskriti Puraskar is a Bangladeshi literary award recognizing significant contributions to literature and cultural writing.
-
D.
Bankim Puraskar
Bankim Puraskar is a prestigious literary award from West Bengal, India, given for outstanding works in Bengali literature.
-
E.
Alakta Sahitya Puraskar
Alakta Sahitya Puraskar is a literary award recognizing notable contributions to Bengali literature.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e899c6288190b39e090fa9cdc883 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55630478c8190aeee4cc219209ccb |
completed | April 19, 2026, 10:24 p.m. |
Created at: April 8, 2026, 9:29 p.m.