Triple

T5716232
Position Surface form Disambiguated ID Type / Status
Subject Yayati ani Devyani E126029 entity
Predicate mainCharacter P1183 FINISHED
Object Devyani
Devyani is a central mythological figure in Marathi literature, prominently featured as a key character in the classic novel "Yayati ani Devyani."
 E541196 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: Devyani | Statement: [Yayati ani Devyani, mainCharacter, Devyani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Devyani
Context triple: [Yayati ani Devyani, mainCharacter, Devyani]
  • A. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • B. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • C. Vandana
    Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
  • D. Divya
    Divya is a renowned Kannada novel by U. R. Ananthamurthy that explores complex social and psychological themes in mid-20th-century India.
  • E. Indira Varma
    Indira Varma is a British actress known for her versatile roles in television, film, and theatre, including prominent performances in series such as "Game of Thrones" and "Luther."
  • 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: Devyani
Triple: [Yayati ani Devyani, mainCharacter, Devyani]
Generated description
Devyani is a central mythological figure in Marathi literature, prominently featured as a key character in the classic novel "Yayati ani Devyani."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Devyani
Target entity description: Devyani is a central mythological figure in Marathi literature, prominently featured as a key character in the classic novel "Yayati ani Devyani."
  • A. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • B. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • C. Vandana
    Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
  • D. Divya
    Divya is a renowned Kannada novel by U. R. Ananthamurthy that explores complex social and psychological themes in mid-20th-century India.
  • E. Indira Varma
    Indira Varma is a British actress known for her versatile roles in television, film, and theatre, including prominent performances in series such as "Game of Thrones" and "Luther."
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b89b0881908675434fefe54ee8 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a77d6b081908db6e64c5a361282 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05c75179c819085bf56340363b48c completed March 22, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69c05d2ef9488190ac0111cb6a94b1d0 completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:46 p.m.