Triple

T24559434
Position Surface form Disambiguated ID Type / Status
Subject Agra gharana E607610 entity
Predicate hasNotableExponent P29301 FINISHED
Object Khadim Hussain Khan
Khadim Hussain Khan was a renowned Indian classical vocalist and composer associated with the Agra gharana, known for his mastery of khayal and contribution to Hindustani music pedagogy.
E1669607 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: Khadim Hussain Khan | Statement: [Agra gharana, hasNotableExponent, Khadim Hussain Khan]
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: Khadim Hussain Khan
Triple: [Agra gharana, hasNotableExponent, Khadim Hussain Khan]
Generated description
Khadim Hussain Khan was a renowned Indian classical vocalist and composer associated with the Agra gharana, known for his mastery of khayal and contribution to Hindustani music pedagogy.

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_69e2c4cae1b88190825e88d5ce8aa61e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f40f7e0f98819085e816400280d483 completed May 1, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10679710708190b9286c00d265f7f6 completed May 22, 2026, 2:26 p.m.
NEDg Description generation batch_6a106844f694819082bb12621dcb700b completed May 22, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a1068b5f1048190a4ff23ddfd76abd6 completed May 22, 2026, 2:31 p.m.
Created at: April 18, 2026, 2:27 a.m.