Triple

T26199239
Position Surface form Disambiguated ID Type / Status
Subject Ankiya Naat E655186 entity
Predicate relatedTo P37 FINISHED
Object Bhaona
Bhaona is a traditional Assamese theatrical performance form, created by the saint-scholar Srimanta Sankardeva, that combines drama, music, dance, and religious storytelling to convey Vaishnavite spiritual themes.
E1715998 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: Bhaona | Statement: [Ankiya Naat, relatedTo, Bhaona]
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: Bhaona
Triple: [Ankiya Naat, relatedTo, Bhaona]
Generated description
Bhaona is a traditional Assamese theatrical performance form, created by the saint-scholar Srimanta Sankardeva, that combines drama, music, dance, and religious storytelling to convey Vaishnavite spiritual themes.

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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60cd9e50481908d1559e6ec048bc1 completed May 2, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11858057d08190a1dc0b8898b82653 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11868d16508190ae8827d4b07f0192 completed May 23, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a11876410f4819091b6b45abd657f54 completed May 23, 2026, 10:54 a.m.
Created at: April 26, 2026, 8:47 p.m.