Triple

T34342032
Position Surface form Disambiguated ID Type / Status
Subject Lisa Scott-Lee E881314 entity
Predicate activeIn P1560 FINISHED
Object United Kingdom music industry
The United Kingdom music industry is the national ecosystem of artists, record labels, venues, media, and organizations responsible for creating, promoting, and distributing music within the UK and internationally.
E2091455 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: United Kingdom music industry | Statement: [Lisa Scott-Lee, activeIn, United Kingdom music industry]
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: United Kingdom music industry
Triple: [Lisa Scott-Lee, activeIn, United Kingdom music industry]
Generated description
The United Kingdom music industry is the national ecosystem of artists, record labels, venues, media, and organizations responsible for creating, promoting, and distributing music within the UK and internationally.

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_69f349bc55e881908c8e338ef76b0043 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f713c829ac8190aeb29622bb3b24f4 completed May 3, 2026, 9:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36f9e1262c81908f0a9daf445ff144 completed June 20, 2026, 8:36 p.m.
NEDg Description generation batch_6a36fad77c448190a7f1413649013fc6 completed June 20, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_6a36fb7ef514819082ea92335cf20cb4 completed June 20, 2026, 8:43 p.m.
Created at: May 1, 2026, 1:58 a.m.