Triple
T1409843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D. Udaya Kumar |
E31778
|
entity |
| Predicate | name |
P16
|
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: [D. Udaya Kumar, name, D. Udaya Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D. Udaya Kumar Context triple: [D. Udaya Kumar, name, 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.
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.
-
C.
Allu Aravind
Allu Aravind is a prominent Indian film producer and distributor, best known for founding the production company Geetha Arts and producing numerous successful Telugu and Hindi films.
-
D.
N. T. Rama Rao Jr.
N. T. Rama Rao Jr. is a prominent Indian film actor known for his leading roles in Telugu cinema and his dynamic performances in action and drama films.
-
E.
Sukumar
Sukumar is a prominent Indian film director and screenwriter known for his psychologically layered storytelling and stylish Telugu-language films in the Tollywood industry.
- 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_69ad293cb8f0819085bea7914abf0683 |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 1, 2026, 7:59 p.m.