Triple
T18884875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prannoy Roy |
E461932
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Prannoy Roy |
—
|
NE NERFINISHED |
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: Prannoy Roy | Statement: [Prannoy Roy, name, Prannoy Roy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prannoy Roy Context triple: [Prannoy Roy, name, Prannoy Roy]
-
A.
Prannoy Roy
chosen
Prannoy Roy is an Indian economist, chartered accountant, and prominent media figure best known as the co-founder and former executive co-chairperson of the news network NDTV.
-
B.
Praveen Paul
Praveen Paul was an Indian actress known for her character roles in Malayalam cinema and theatre.
-
C.
Ashok Amritraj
Ashok Amritraj is an Indian-American film producer and former professional tennis player known for producing numerous Hollywood films across action, comedy, and drama genres.
-
D.
Mahesh Bhupathi
Mahesh Bhupathi is a former Indian professional tennis player renowned as one of the country’s most successful doubles specialists, with multiple Grand Slam titles to his name.
-
E.
Pradeep Sindhu
Pradeep Sindhu is an Indian-American computer scientist and entrepreneur best known as the co-founder and former chief technology officer of networking company Juniper Networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d53e608190b8740c092b6e1523 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.