Triple
T7770970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhusudan |
E179066
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Krishnakumari |
E172986
|
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: Krishnakumari | Statement: [Madhusudan, notableWork, Krishnakumari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krishnakumari Context triple: [Madhusudan, notableWork, Krishnakumari]
-
A.
Krishnakumari
chosen
Krishnakumari is a Bengali literary work by 19th-century poet and dramatist Michael Madhusudan Dutt, known for its pioneering role in modern Bengali drama.
-
B.
Kumudavathi
Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
-
C.
Shyamala
Shyamala is an Indian-origin female given name commonly used in South Asia.
-
D.
Rajeswari
Rajeswari is known as the wife of prominent Indian film producer D. Ramanaidu.
-
E.
Bhavani Kooduthurai
Bhavani Kooduthurai is a well-known riverbank confluence area near Erode in Tamil Nadu, India, where major rivers meet and attract pilgrims and visitors.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7045ebae88190a04c8f972795e615 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ead45c8190847365d8549eefab |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.