Triple

T21203748
Position Surface form Disambiguated ID Type / Status
Subject Arun Athavale E522523 entity
Predicate hasSpouse P13 FINISHED
Object Jyoti Devlalikar
Jyoti Devlalikar is known as the spouse of Indian actor and filmmaker Arun Athavale.
 E524882 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 Devlalikar | Statement: [Arun Athavale, hasSpouse, Jyoti Devlalikar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jyoti Devlalikar
Context triple: [Arun Athavale, hasSpouse, Jyoti Devlalikar]
  • A. Jyoti Devlalikar
    Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
  • B. 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.
  • C. Geetika Jain
    Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
  • D. Vijeta Pendharkar
    Vijeta Pendharkar is an Indian medical professional best known as the wife of former Indian cricketer Rahul Dravid.
  • E. Kala Dandekar
    Kala Dandekar is a central character in the science fiction series "Sense8," portrayed as a devout Hindu pharmacist from Mumbai who becomes psychically linked with seven other individuals around the world.
  • 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 Devlalikar
Triple: [Arun Athavale, hasSpouse, Jyoti Devlalikar]
Generated description
Jyoti Devlalikar is known as the spouse of Indian actor and filmmaker Arun Athavale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jyoti Devlalikar
Target entity description: Jyoti Devlalikar is known as the spouse of Indian actor and filmmaker Arun Athavale.
  • A. Jyoti Devlalikar chosen
    Jyoti Devlalikar is a character in the Indian television series "Kanyadaan."
  • B. 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.
  • C. Geetika Jain
    Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
  • D. Vijeta Pendharkar
    Vijeta Pendharkar is an Indian medical professional best known as the wife of former Indian cricketer Rahul Dravid.
  • E. Kala Dandekar
    Kala Dandekar is a central character in the science fiction series "Sense8," portrayed as a devout Hindu pharmacist from Mumbai who becomes psychically linked with seven other individuals around the world.
  • F. None of above.

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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7343367308190b1b772d3c8e25dcb completed April 21, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986e060188190b00ff5cc044c8208 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a0987a9ceac819083ecb7988661235a completed May 17, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_6a09881c2d4c8190ab2cdf5dc99a43b0 completed May 17, 2026, 9:19 a.m.
Created at: April 16, 2026, 3:19 p.m.