Triple
T15676569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Dutta |
E377457
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Saira Bhupathi |
E1126032
|
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: Saira Bhupathi | Statement: [Lara Dutta, hasChild, Saira Bhupathi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saira Bhupathi Context triple: [Lara Dutta, hasChild, Saira Bhupathi]
-
A.
Sania Mirza
Sania Mirza is a renowned Indian professional tennis player, widely regarded as one of the country’s greatest female athletes and a multiple Grand Slam doubles champion.
-
B.
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.
-
C.
Mahesh Bhupathi
chosen
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.
-
D.
Sandhini Agarwal
Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
-
E.
Padmanee Sharma
Padmanee Sharma is an American oncologist and immunologist known for her pioneering research in cancer immunotherapy and checkpoint blockade.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee0446881909e9c2504d51d49a3 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.