Triple
T8564844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijay |
E202777
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Jason Sanjay
Jason Sanjay is the son of Tamil film star Vijay, known to the public primarily through his father's prominence in Indian cinema.
|
E742911
|
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: Jason Sanjay | Statement: [Vijay, child, Jason Sanjay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Sanjay Context triple: [Vijay, child, Jason Sanjay]
-
A.
Danny Sapani
Danny Sapani is a British-Ghanaian actor known for his work in film, television, and theatre, including roles in projects like "Penny Dreadful," "Black Panther," and "Star Wars: The Last Jedi."
-
B.
Jay Mehta
Jay Mehta is an Indian businessman and industrialist, known for his interests in cement and other industries and for being married to actress Juhi Chawla.
-
C.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
D.
Brian Jegan
Brian Jegan is an athlete best known for lighting the ceremonial torch at the 1998 Commonwealth Games.
-
E.
Nick Mehta
Nick Mehta is a technology executive best known as the CEO of Gainsight and a prominent advocate and thought leader in the field of customer success.
- 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: Jason Sanjay Triple: [Vijay, child, Jason Sanjay]
Generated description
Jason Sanjay is the son of Tamil film star Vijay, known to the public primarily through his father's prominence in Indian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jason Sanjay Target entity description: Jason Sanjay is the son of Tamil film star Vijay, known to the public primarily through his father's prominence in Indian cinema.
-
A.
Danny Sapani
Danny Sapani is a British-Ghanaian actor known for his work in film, television, and theatre, including roles in projects like "Penny Dreadful," "Black Panther," and "Star Wars: The Last Jedi."
-
B.
Jay Mehta
Jay Mehta is an Indian businessman and industrialist, known for his interests in cement and other industries and for being married to actress Juhi Chawla.
-
C.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
D.
Brian Jegan
Brian Jegan is an athlete best known for lighting the ceremonial torch at the 1998 Commonwealth Games.
-
E.
Nick Mehta
Nick Mehta is a technology executive best known as the CEO of Gainsight and a prominent advocate and thought leader in the field of customer success.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89677888819091dfda14ce6baef3 |
completed | April 2, 2026, 3:21 p.m. |
| NEDg | Description generation | batch_69ce8c10d774819086437ffeeb1ef25d |
completed | April 2, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d0064fc819095058293e4229f25 |
completed | April 2, 2026, 3:36 p.m. |
Created at: March 30, 2026, 6:20 p.m.