Triple
T21354989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vālmīki |
E526594
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object | Ādi Kavi |
—
|
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: Ādi Kavi | Statement: [Vālmīki, honorificTitle, Ādi Kavi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ādi Kavi Context triple: [Vālmīki, honorificTitle, Ādi Kavi]
-
A.
Mahakavi
Mahakavi is the revered honorific title meaning "Great Poet," famously associated with the celebrated Nepali poet Laxmi Prasad Devkota.
-
B.
Tulsidas
Tulsidas was a 16th-century Indian poet-saint best known for composing the epic Ramcharitmanas, a retelling of the Ramayana in the vernacular that deeply influenced North Indian devotional culture.
-
C.
Kavi Brahma
Kavi Brahma is a revered honorific title bestowed upon the medieval Telugu poet Tikkana, recognizing his divine stature in literature and poetry.
-
D.
Mahakavi Ranna
Mahakavi Ranna was a celebrated 10th-century Kannada poet of the Western Chalukya court, renowned as one of the “three gems” of classical Kannada literature.
-
E.
Valmiki
chosen
Valmiki is the revered ancient Indian sage traditionally credited with composing the epic Sanskrit poem Ramayana.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9be3a48190aa8e6e9a5b812981 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:06 p.m.