Triple
T19411648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripathi |
E485600
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Tripathy |
—
|
NE NERFINISHED |
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: Tripathy | Statement: [Tripathi, hasVariant, Tripathy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tripathy Context triple: [Tripathi, hasVariant, Tripathy]
-
A.
Tripathi
chosen
Tripathi is an Indian-origin surname commonly associated with Hindu Brahmin communities, particularly in northern India.
-
B.
Parthasarathy
Parthasarathy is an Indian surname commonly found among South Indian communities, often associated with Tamil and Telugu speakers.
-
C.
Chattopadhyay
Chattopadhyay is a Bengali surname notably borne by influential Indian writer Sarat Chandra Chattopadhyay, renowned for his socially conscious novels and stories.
-
D.
Swarup
Swarup is an Indian given name commonly used for males, derived from Sanskrit and generally meaning "form" or "true nature."
-
E.
Pradip
Pradip is a masculine given name commonly used in India and among people of Indian origin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af681288190ba2ec52d5adb6a22 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.