Triple
T6444278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS Dhoni |
E138301
|
entity |
| Predicate | marriedTo |
P13
|
FINISHED |
| Object |
Sakshi Dhoni
Sakshi Dhoni is an Indian entrepreneur and public figure best known as the wife of former Indian cricket captain MS Dhoni.
|
E595047
|
NE FINISHED |
How this triple was built (4 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: Sakshi Dhoni | Statement: [MS Dhoni, marriedTo, Sakshi Dhoni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakshi Dhoni Context triple: [MS Dhoni, marriedTo, Sakshi Dhoni]
-
A.
Sara Tendulkar
Sara Tendulkar is an Indian public figure and social media personality best known as the daughter of legendary cricketer Sachin Tendulkar.
-
B.
Rinku Singh
Rinku Singh is an Indian former javelin thrower who became one of the first Indian-born professional baseball players in the United States after winning the reality show "Million Dollar Arm."
-
C.
Anjali Tendulkar
Anjali Tendulkar is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
-
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.
Rajni Tendulkar
Rajni Tendulkar is the mother of Indian cricket legend Sachin Tendulkar and grandmother of Sara Tendulkar.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sakshi Dhoni Triple: [MS Dhoni, marriedTo, Sakshi Dhoni]
Generated description
Sakshi Dhoni is an Indian entrepreneur and public figure best known as the wife of former Indian cricket captain MS Dhoni.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sakshi Dhoni Target entity description: Sakshi Dhoni is an Indian entrepreneur and public figure best known as the wife of former Indian cricket captain MS Dhoni.
-
A.
Sara Tendulkar
Sara Tendulkar is an Indian public figure and social media personality best known as the daughter of legendary cricketer Sachin Tendulkar.
-
B.
Rinku Singh
Rinku Singh is an Indian former javelin thrower who became one of the first Indian-born professional baseball players in the United States after winning the reality show "Million Dollar Arm."
-
C.
Anjali Tendulkar
Anjali Tendulkar is an Indian pediatrician best known as the wife of legendary cricketer Sachin Tendulkar.
-
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.
Rajni Tendulkar
Rajni Tendulkar is the mother of Indian cricket legend Sachin Tendulkar and grandmother of Sara Tendulkar.
- F. None of above. chosen
Provenance (5 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698c17ec81909f6bbcbe636a67fd |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bc718dc8190b186d09a17562d26 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64f8c3df08190986343f78e7a066a |
completed | March 27, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6501b1b6481908cead1450402752b |
completed | March 27, 2026, 9:38 a.m. |
Created at: March 22, 2026, 4:46 p.m.