Triple
T1409700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nannaya |
E31775
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Adi Kavi Nannaya |
E31775
|
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: Adi Kavi Nannaya | Statement: [Nannaya, alsoKnownAs, Adi Kavi Nannaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adi Kavi Nannaya Context triple: [Nannaya, alsoKnownAs, Adi Kavi Nannaya]
-
A.
Nannaya
chosen
Nannaya is revered as the first great poet of Telugu literature, best known for initiating the classical Telugu rendition of the Mahabharata.
-
B.
Sarala Das
Sarala Das was a 15th-century Odia poet and scholar, celebrated as the "Adikabi" (first poet) of Odia literature and best known for his Odia rendition of the Mahabharata.
-
C.
Vidyapati
Vidyapati was a renowned medieval poet and scholar from the Mithila region, celebrated for his Maithili and Sanskrit devotional and love poetry.
-
D.
Valmiki
Valmiki is the revered ancient Indian sage traditionally credited with composing the epic Sanskrit poem Ramayana.
-
E.
Vyasa
Vyasa is the legendary sage in Hindu tradition credited with composing and compiling the Mahabharata and organizing the Vedas.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e0bfd08190a50820bc7585c28f |
completed | March 1, 2026, 10:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad015a52a88190933e7337067e5364 |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:59 p.m.