Triple
T21024253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deshay |
E517895
|
entity |
| Predicate | transliterationOf |
P5923
|
FINISHED |
| Object | Desai |
—
|
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: Desai | Statement: [Deshay, transliterationOf, Desai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desai Context triple: [Deshay, transliterationOf, Desai]
-
A.
Desai
chosen
Desai is an Indian surname commonly associated with various communities, historically linked to landownership and administrative roles.
-
B.
Kothari
Kothari is an Indian surname commonly associated with various notable figures in fields such as science, business, and public life.
-
C.
Deshpande
Deshpande is a traditional administrative title in the Maratha system, typically referring to a local revenue officer or record-keeper responsible for managing land and tax records.
-
D.
Agarkar
Agarkar is an Indian surname most notably associated with social reformer and educationist Gopal Ganesh Agarkar.
-
E.
Gavankar
Gavankar is the surname of Janina Gavankar, an American actress, musician, and filmmaker known for roles in television, film, and video games.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5f5bcc8190ab5fcc467703f0ef |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:55 p.m.