Triple

T29135684
Position Surface form Disambiguated ID Type / Status
Subject Visions E738506 entity
Predicate awardReceived P11 FINISHED
Object Juno Award for Electronic Album of the Year
The Juno Award for Electronic Album of the Year is a Canadian music award recognizing the best electronic music album released by a Canadian artist each year.
E1859901 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: Juno Award for Electronic Album of the Year | Statement: [Visions, awardReceived, Juno Award for Electronic Album of the Year]
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: Juno Award for Electronic Album of the Year
Triple: [Visions, awardReceived, Juno Award for Electronic Album of the Year]
Generated description
The Juno Award for Electronic Album of the Year is a Canadian music award recognizing the best electronic music album released by a Canadian artist each year.

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_69f07cb3adb48190a9e0e169cd026634 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6626ac7508190959be92ac34c33ac completed May 2, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25890c1b748190824ba7c8a4d68615 completed June 7, 2026, 3:06 p.m.
NEDg Description generation batch_6a25944a643c8190b5458a00aa75a9fc completed June 7, 2026, 3:54 p.m.
NED2 Entity disambiguation (via description) batch_6a25949da2f88190bab7ab9362f3c3d8 completed June 7, 2026, 3:56 p.m.
Created at: April 28, 2026, 11:34 a.m.