Triple

T18806638
Position Surface form Disambiguated ID Type / Status
Subject Sunny Balwani E459892 entity
Predicate givenName P17 FINISHED
Object Ramesh
Ramesh is the given first name of Sunny Balwani, the former president and chief operating officer of the health technology company Theranos.
E1344427 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: Ramesh | Statement: [Sunny Balwani, givenName, Ramesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramesh
Context triple: [Sunny Balwani, givenName, Ramesh]
  • A. Rakesh
    Rakesh is the birth name of Rick Parashar, the American record producer known for his work with bands like Pearl Jam and Temple of the Dog.
  • B. Suresh
    Suresh is a gifted but troubled young origami prodigy in the play "Animals Out of Paper," whose talent and emotional struggles drive much of the story’s exploration of grief, connection, and healing.
  • C. Rajesh
    Rajesh is a masculine given name of Indian origin commonly used across South Asia and in the Indian diaspora.
  • D. Ramesh Bais
    Ramesh Bais is an Indian politician who has served as the governor of multiple states and was previously a long-time member of the Bharatiya Janata Party and the Lok Sabha.
  • E. Rajan
    Rajan is an ancient Indian royal title denoting a king or ruler, commonly used in early historic dynasties such as the Satavahanas.
  • 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: Ramesh
Triple: [Sunny Balwani, givenName, Ramesh]
Generated description
Ramesh is the given first name of Sunny Balwani, the former president and chief operating officer of the health technology company Theranos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ramesh
Target entity description: Ramesh is the given first name of Sunny Balwani, the former president and chief operating officer of the health technology company Theranos.
  • A. Rakesh
    Rakesh is the birth name of Rick Parashar, the American record producer known for his work with bands like Pearl Jam and Temple of the Dog.
  • B. Suresh
    Suresh is a gifted but troubled young origami prodigy in the play "Animals Out of Paper," whose talent and emotional struggles drive much of the story’s exploration of grief, connection, and healing.
  • C. Rajesh
    Rajesh is a masculine given name of Indian origin commonly used across South Asia and in the Indian diaspora.
  • D. Ramesh Bais
    Ramesh Bais is an Indian politician who has served as the governor of multiple states and was previously a long-time member of the Bharatiya Janata Party and the Lok Sabha.
  • E. Rajan
    Rajan is an ancient Indian royal title denoting a king or ruler, commonly used in early historic dynasties such as the Satavahanas.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d7f8d08190a3e02fab6dc40bb5 completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bbec00c8190962dddaf08bb1c5d completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055f9b560c81909fcc83ffb8fc7498 completed May 14, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_6a05605e78088190ae2fc8189007d6dc completed May 14, 2026, 5:40 a.m.
Created at: April 10, 2026, 11:53 a.m.