Triple

T24379070
Position Surface form Disambiguated ID Type / Status
Subject Patiala gharana E614558 entity
Predicate notableExponents P29301 FINISHED
Object Amanat Ali Khan
Amanat Ali Khan was a renowned Pakistani classical vocalist celebrated for his mastery of khayal and thumri and for popularizing the Patiala gharana’s distinctive style in the 20th century.
E1640886 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: Amanat Ali Khan | Statement: [Patiala gharana, notableExponents, Amanat Ali 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: Amanat Ali Khan
Triple: [Patiala gharana, notableExponents, Amanat Ali Khan]
Generated description
Amanat Ali Khan was a renowned Pakistani classical vocalist celebrated for his mastery of khayal and thumri and for popularizing the Patiala gharana’s distinctive style in the 20th century.

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_69e2d7e362e481909e32fe4ef8269d4f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293da489c81909a7912b790be8b8a completed April 29, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff83ed070819087a6285c0348c51a completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff8da6b308190adf2063821a84837 completed May 22, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff9d952ec81908a5b2640c263e21d completed May 22, 2026, 6:38 a.m.
Created at: April 18, 2026, 2:02 a.m.