Triple
T11605979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sisir Kumar Bose |
E275260
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sisir |
E531461
|
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: Sisir | Statement: [Sisir Kumar Bose, givenName, Sisir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sisir Context triple: [Sisir Kumar Bose, givenName, Sisir]
-
A.
Sisir
chosen
Sisir is an Indian given name, notably borne by physicist Sisir Kumar Mitra, a pioneer in ionospheric research.
-
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.
Srikanta
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.
-
D.
Birsingha
Birsingha is a village in West Bengal, India, best known as the birthplace of the 19th-century social reformer and educator Ishwar Chandra Vidyasagar.
-
E.
Bibhuti
Bibhuti is a given name most notably associated with Indian physicist Bibhuti Bhushan Bose.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89551649c81908096ff392677442d |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee871c3dbc8190922d125a04a9ee98 |
completed | April 26, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9:38 p.m.