Triple

T902904
Position Surface form Disambiguated ID Type / Status
Subject Arjuna E19483 entity
Predicate child P120 FINISHED
Object Prativindhya
Prativindhya is a character in the Indian epic Mahabharata, known as the son of Arjuna and Draupadi and one of the Upapandavas.
E110825 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: Prativindhya | Statement: [Arjuna, child, Prativindhya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prativindhya
Context triple: [Arjuna, child, Prativindhya]
  • A. Ananta
    Ananta is the cosmic serpent in Hindu mythology who serves as the endless, thousand-headed couch of the god Vishnu and symbolizes infinity and timelessness.
  • B. Mangal
    Mangal is a given name most notably borne by Mangal Pandey, an Indian soldier whose actions helped spark the Indian Rebellion of 1857.
  • C. Kala Pani
    Kala Pani is the infamous British-era colonial prison in the Andaman and Nicobar Islands, known for its harsh conditions and use to exile Indian freedom fighters.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Kalpeni
    Kalpeni is a coral atoll and inhabited island in India’s Lakshadweep archipelago in the Arabian Sea, known for its lagoon, beaches, and coconut groves.
  • 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: Prativindhya
Triple: [Arjuna, child, Prativindhya]
Generated description
Prativindhya is a character in the Indian epic Mahabharata, known as the son of Arjuna and Draupadi and one of the Upapandavas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prativindhya
Target entity description: Prativindhya is a character in the Indian epic Mahabharata, known as the son of Arjuna and Draupadi and one of the Upapandavas.
  • A. Ananta
    Ananta is the cosmic serpent in Hindu mythology who serves as the endless, thousand-headed couch of the god Vishnu and symbolizes infinity and timelessness.
  • B. Mangal
    Mangal is a given name most notably borne by Mangal Pandey, an Indian soldier whose actions helped spark the Indian Rebellion of 1857.
  • C. Kala Pani
    Kala Pani is the infamous British-era colonial prison in the Andaman and Nicobar Islands, known for its harsh conditions and use to exile Indian freedom fighters.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Kalpeni
    Kalpeni is a coral atoll and inhabited island in India’s Lakshadweep archipelago in the Arabian Sea, known for its lagoon, beaches, and coconut groves.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad56f4c08190a7a5091ff0eb3209 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d6781081908a59c0263515bbc8 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a834246eec8190977b2d3747fa1e9d completed March 4, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69a834a0e6748190aa1c488a46f35df2 completed March 4, 2026, 1:33 p.m.
Created at: March 1, 2026, 7:39 p.m.