Triple
T10468569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naveen |
E246866
|
entity |
| Predicate | hasScriptForm |
P5713
|
FINISHED |
| Object | నవీన్ |
E246866
|
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: నవీన్ | Statement: [Naveen, hasScriptForm, నవీన్]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: నవీన్ Context triple: [Naveen, hasScriptForm, నవీన్]
-
A.
Naveen Yerneni
Naveen Yerneni is an Indian film producer and co-founder of the prominent Telugu production company Mythri Movie Makers, known for backing several major commercial and critically acclaimed films.
-
B.
Srinivas
Srinivas is an Indian playback singer known for his melodious voice and extensive work in Tamil cinema music.
-
C.
Naveen
chosen
Naveen is a male given name commonly used in South Asian cultures, particularly in India.
-
D.
Venkata Ramana Reddy
Venkata Ramana Reddy, better known by his professional name Dil Raju, is a prominent Indian film producer and distributor in the Telugu film industry.
-
E.
Nuvve Kavali
Nuvve Kavali is a popular 2000 Telugu romantic drama film that became a trendsetter for youthful love stories in Telugu cinema.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ff1cd948190a1ef331fb810bf26 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:20 p.m.