Triple
T6540626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udaya |
E168276
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | D. Udaya Kumar |
E31778
|
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: D. Udaya Kumar | Statement: [Udaya, hasNotableBearer, D. Udaya Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D. Udaya Kumar Context triple: [Udaya, hasNotableBearer, D. Udaya Kumar]
-
A.
D. Udaya Kumar
chosen
D. Udaya Kumar is an Indian academic and designer best known for creating the modern symbol of the Indian rupee currency.
-
B.
Rana Daggubati
Rana Daggubati is an Indian film actor and producer best known internationally for his role as the antagonist Bhallaladeva in the blockbuster "Baahubali" films.
-
C.
A. S. Dileep Kumar
A. S. Dileep Kumar is the birth name of A. R. Rahman, the acclaimed Indian composer, singer, and music producer renowned for his work in film and world music.
-
D.
Venkatesh Daggubati
Venkatesh Daggubati is a prominent Indian film actor best known for his work in Telugu cinema, where he has had a successful career spanning several decades.
-
E.
K. Balaji
K. Balaji was an Indian film producer and actor known for his work in Tamil cinema and for producing several successful remakes of Hindi films.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add7369c8190919cd7c07012a994 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7127fc0a081909589c2a05e457866 |
completed | March 27, 2026, 11:27 p.m. |
Created at: March 27, 2026, 1:50 p.m.