Triple

T30904140
Position Surface form Disambiguated ID Type / Status
Subject The Luyas E787247 entity
Predicate notableInstrumentUsed P9123 FINISHED
Object Moodswinger
Moodswinger is an experimental electric string instrument, similar to a third-bridge guitar, known for its distinctive, overtone-rich sound used in avant-garde and indie music.
E1936426 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: Moodswinger | Statement: [The Luyas, notableInstrumentUsed, Moodswinger]
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: Moodswinger
Triple: [The Luyas, notableInstrumentUsed, Moodswinger]
Generated description
Moodswinger is an experimental electric string instrument, similar to a third-bridge guitar, known for its distinctive, overtone-rich sound used in avant-garde and indie music.

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_69f224bcbcb48190836df847424e4057 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a03292a66dc8190a0d78716cecc77bb completed May 12, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7f1ad108190a5b627a6477d8e04 completed June 10, 2026, 2:12 a.m.
NEDg Description generation batch_6a28cc6167d481909f39e735e9ac5b77 completed June 10, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a28cdb1ee7481909395b195f16c6163 completed June 10, 2026, 2:36 a.m.
Created at: April 29, 2026, 8:50 p.m.