Triple
T7548170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarat Chandra Chattopadhyay |
E178458
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Srikanta |
E174023
|
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: Srikanta | Statement: [Sarat Chandra Chattopadhyay, notableWork, Srikanta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srikanta Context triple: [Sarat Chandra Chattopadhyay, notableWork, Srikanta]
-
A.
Srikanta
chosen
Srikanta is a classic Bengali novel by Sarat Chandra Chattopadhyay that explores the emotional and social struggles of its introspective protagonist against the backdrop of early 20th-century Bengal.
-
B.
Sampati
Sampati is a character in the Indian epic Ramayana, a vulture-king known for being Jatayu’s elder brother who aids Rama’s allies by revealing Sita’s whereabouts.
-
C.
Sudarshan
Sudarshan is a common Indian surname found across various regions and communities in India.
-
D.
Kshetrayya
Kshetrayya was a 17th-century Telugu poet-composer renowned for his devotional and erotic padams dedicated to the god Krishna, which are central to South Indian classical music and dance traditions.
-
E.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89b9afc8190b3e61a8e2cea7ad7 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86151a5a48190a6a53baa54f19293 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:49 p.m.