Triple
T10468571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naveen |
E246866
|
entity |
| Predicate | hasScriptForm |
P5713
|
FINISHED |
| Object | നവീൻ |
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: നവീൻ | Statement: [Naveen, hasScriptForm, നവീൻ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: നവീൻ Context triple: [Naveen, hasScriptForm, നവീൻ]
-
A.
नवीन
नवीन is the Devanagari-script form of the Indian given name "Naveen," commonly used in Hindi and related languages.
-
B.
Navin
Navin is a given name commonly used in South Asian communities, often as an alternative transliteration of the name Naveen.
-
C.
Naveen Andrews
Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
-
D.
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.
-
E.
Naveen
chosen
Naveen is a male given name commonly used in South Asian cultures, particularly in India.
- 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_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:20 p.m.