Triple

T28947066
Position Surface form Disambiguated ID Type / Status
Subject Guru Kelucharan Mohapatra E730608 entity
Predicate fullName P16 FINISHED
Object Kelucharan Mohapatra
Kelucharan Mohapatra was a legendary Indian classical dancer, choreographer, and guru, celebrated as a principal architect of the modern Odissi dance form.
E1857390 NE FINISHED

How this triple was built (2 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: Kelucharan Mohapatra | Statement: [Guru Kelucharan Mohapatra, fullName, Kelucharan Mohapatra]
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: Kelucharan Mohapatra
Triple: [Guru Kelucharan Mohapatra, fullName, Kelucharan Mohapatra]
Generated description
Kelucharan Mohapatra was a legendary Indian classical dancer, choreographer, and guru, celebrated as a principal architect of the modern Odissi dance form.

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_69f043ea0aa88190a25acbf46157995a completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65b898a4081909a48fc91e1a1311c completed May 2, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25699b60f48190ae9f078545d8ebef completed June 7, 2026, 12:52 p.m.
NEDg Description generation batch_6a256e06900c81909d7a088c56159bd2 completed June 7, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a25791ab7f08190ae6dd113adf806f1 completed June 7, 2026, 1:58 p.m.
Created at: April 28, 2026, 8:41 a.m.