Triple

T31191174
Position Surface form Disambiguated ID Type / Status
Subject Vanessa-Mae E795183 entity
Predicate notableWork P4 FINISHED
Object The Violin Player
The Violin Player is Vanessa-Mae’s breakthrough 1995 album that blends classical violin with pop and techno influences, helping popularize her distinctive crossover style.
 E1951954 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: The Violin Player | Statement: [Vanessa-Mae, notableWork, The Violin Player]
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: The Violin Player
Triple: [Vanessa-Mae, notableWork, The Violin Player]
Generated description
The Violin Player is Vanessa-Mae’s breakthrough 1995 album that blends classical violin with pop and techno influences, helping popularize her distinctive crossover style.

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_69f224d7a6a481908187c4362a8a525f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69915a4ec81908c8b2425db43ca0d completed May 3, 2026, 12:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a295915e7cc81908efb6a37d9ce871a completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a2959a8c0708190b8cf96f13be2bd37 completed June 10, 2026, 12:33 p.m.
NED2 Entity disambiguation (via description) batch_6a295d91f59c819096a9baa006e93830 completed June 10, 2026, 12:50 p.m.
Created at: April 29, 2026, 9:08 p.m.