Triple

T11383603
Position Surface form Disambiguated ID Type / Status
Subject Anshu Jain E269657 entity
Predicate spouse P13 FINISHED
Object Geetika Jain
Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
 E931696 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: Geetika Jain | Statement: [Anshu Jain, spouse, Geetika Jain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geetika Jain
Context triple: [Anshu Jain, spouse, Geetika Jain]
  • A. Rima Jain
    Rima Jain is an Indian film industry personality and member of the prominent Kapoor family, known as the daughter of legendary actor-filmmaker Raj Kapoor.
  • B. Vidyavati Sharma
    Vidyavati Sharma was the wife of former President of India Shankar Dayal Sharma and served as the First Lady of India during his tenure.
  • C. 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.
  • D. 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.
  • E. Sangita Srivastava
    Sangita Srivastava is an Indian academic and administrator who has served as the vice-chancellor of the historic University of Allahabad.
  • 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: Geetika Jain
Triple: [Anshu Jain, spouse, Geetika Jain]
Generated description
Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geetika Jain
Target entity description: Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
  • A. Rima Jain
    Rima Jain is an Indian film industry personality and member of the prominent Kapoor family, known as the daughter of legendary actor-filmmaker Raj Kapoor.
  • B. Vidyavati Sharma
    Vidyavati Sharma was the wife of former President of India Shankar Dayal Sharma and served as the First Lady of India during his tenure.
  • C. 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.
  • D. 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.
  • E. Sangita Srivastava
    Sangita Srivastava is an Indian academic and administrator who has served as the vice-chancellor of the historic University of Allahabad.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e684d1bcd08190925cc9a2e844c900 completed April 20, 2026, 7:56 p.m.
NEDg Description generation batch_69e68fd6b6088190b24f552b5afc3f55 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:34 p.m.