Triple
T6028988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaushik Basu |
E134251
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kaushik |
E308244
|
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: Kaushik | Statement: [Kaushik Basu, givenName, Kaushik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaushik Context triple: [Kaushik Basu, givenName, Kaushik]
-
A.
Kaushik
chosen
Kaushik is a central character in Jhumpa Lahiri’s collection "Unaccustomed Earth," whose life and relationships explore themes of displacement, family, and identity within the Indian-American diaspora.
-
B.
Nikhilesh
Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
-
C.
Bhasker
Bhasker is the surname of Jeff Bhasker, a prominent American record producer, songwriter, and multi-instrumentalist known for his work with major pop and hip-hop artists.
-
D.
Abhijit
Abhijit is a common Indian male given name of Sanskrit origin, often associated with success and victory.
-
E.
Satyaki
Satyaki is a heroic warrior and ally of the Pandavas in the Indian epic Mahabharata, renowned for his valor, loyalty, and skill in archery.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560fdc84819093abba13054ea1ee |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1137d6a648190a91795fb679a891c |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:07 p.m.