Triple

T2432298
Position Surface form Disambiguated ID Type / Status
Subject Vicarious Visions E52873 entity
Predicate foundedBy P104 FINISHED
Object Karthik Bala
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
E266241 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: Karthik Bala | Statement: [Vicarious Visions, foundedBy, Karthik Bala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karthik Bala
Context triple: [Vicarious Visions, foundedBy, Karthik Bala]
  • A. Krishna Bharadwaj
    Krishna Bharadwaj was an influential Indian economist known for her work in classical political economy and development economics, and for her role in shaping economic thought and teaching in India.
  • B. Dileep Rao
    Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
  • C. Sachit Mehra
    Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
  • D. Sanjay Reddy
    Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
  • E. Deepak Nayyar
    Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
  • 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: Karthik Bala
Triple: [Vicarious Visions, foundedBy, Karthik Bala]
Generated description
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karthik Bala
Target entity description: Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
  • A. Krishna Bharadwaj
    Krishna Bharadwaj was an influential Indian economist known for her work in classical political economy and development economics, and for her role in shaping economic thought and teaching in India.
  • B. Dileep Rao
    Dileep Rao is an American actor known for his supporting roles in major films such as Avatar, Drag Me to Hell, and Inception.
  • C. Sachit Mehra
    Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
  • D. Sanjay Reddy
    Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
  • E. Deepak Nayyar
    Deepak Nayyar is an Indian economist and academic known for his work on development economics and his leadership roles in major universities and international economic institutions.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9c915e881908d97ae4ccc83ab53 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6b71c481908a5ff20edb09de14 completed March 9, 2026, 12:39 p.m.
NEDg Description generation batch_69aec57c0520819080e843fc57b9cef5 completed March 9, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69aec84d2dcc8190897481981d976fba completed March 9, 2026, 1:17 p.m.
Created at: March 6, 2026, 9:43 p.m.