Triple

T6716865
Position Surface form Disambiguated ID Type / Status
Subject Pratibha Patil E153290 entity
Predicate child P120 FINISHED
Object Jyoti Rathore
Jyoti Rathore is the daughter of Pratibha Patil, the former President of India.
E616259 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: Jyoti Rathore | Statement: [Pratibha Patil, child, Jyoti Rathore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jyoti Rathore
Context triple: [Pratibha Patil, child, Jyoti Rathore]
  • A. Jyoti Bansal
    Jyoti Bansal is an Indian-American entrepreneur and technologist best known for founding the application performance management company AppDynamics, which was acquired by Cisco for billions of dollars.
  • B. 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.
  • C. Renu Khator
    Renu Khator is an Indian-American academic and higher education leader who serves as the longtime chancellor of the University of Houston System and a prominent advocate for urban research universities.
  • D. Jyoti Devlalikar
    Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
  • E. Sheila Dikshit
    Sheila Dikshit was a prominent Indian National Congress politician who served as the long-time Chief Minister of Delhi, overseeing significant urban development and governance reforms in the capital.
  • 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: Jyoti Rathore
Triple: [Pratibha Patil, child, Jyoti Rathore]
Generated description
Jyoti Rathore is the daughter of Pratibha Patil, the former President of India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jyoti Rathore
Target entity description: Jyoti Rathore is the daughter of Pratibha Patil, the former President of India.
  • A. Jyoti Bansal
    Jyoti Bansal is an Indian-American entrepreneur and technologist best known for founding the application performance management company AppDynamics, which was acquired by Cisco for billions of dollars.
  • B. 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.
  • C. Renu Khator
    Renu Khator is an Indian-American academic and higher education leader who serves as the longtime chancellor of the University of Houston System and a prominent advocate for urban research universities.
  • D. Jyoti Devlalikar
    Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
  • E. Sheila Dikshit
    Sheila Dikshit was a prominent Indian National Congress politician who served as the long-time Chief Minister of Delhi, overseeing significant urban development and governance reforms in the capital.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d125db3c8190aad28919226a16da completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70afa805c819098312fc0d06ec115 completed March 27, 2026, 10:55 p.m.
NEDg Description generation batch_69c70d3a298881908260da6ad2ddfb48 completed March 27, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69c70d8901088190a3ab5c7f0af8398c completed March 27, 2026, 11:06 p.m.
Created at: March 27, 2026, 2:07 p.m.