Triple

T26845142

Position	Surface form	Disambiguated ID	Type / Status
Subject	Missa Mille Regretz	`E675894`	entity
Predicate	derivesMelodicMaterialFrom	`P37245`	FINISHED
Object	Mille regretz (chanson) Mille regretz is a famous early 16th-century French chanson, traditionally attributed to Josquin des Prez, renowned for its poignant expression of sorrow and its widespread influence on later Renaissance compositions.	`E1744164`	NE FINISHED

How this triple was built (3 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: Mille regretz (chanson) | Statement: [Missa Mille Regretz, derivesMelodicMaterialFrom, Mille regretz (chanson)]

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: Mille regretz (chanson)
Triple: [Missa Mille Regretz, derivesMelodicMaterialFrom, Mille regretz (chanson)]

Generated description

Mille regretz is a famous early 16th-century French chanson, traditionally attributed to Josquin des Prez, renowned for its poignant expression of sorrow and its widespread influence on later Renaissance compositions.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: derivesMelodicMaterialFrom
Context triple: [Missa Mille Regretz, derivesMelodicMaterialFrom, Mille regretz (chanson)]

A. melodicPattern
Indicates a recurring sequence of musical tones or intervals that forms a recognizable melodic structure within a piece.
B. isMelodic
Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
C. hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
D. hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
E. melodyReusedBy chosen
Indicates that a melody originally used in one work is later reused or incorporated in another work.
F. None of above.

Provenance (6 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_69eee9b8d5e88190a07d3455c0fbb21f`	completed	April 27, 2026, 4:44 a.m.
NER	Named-entity recognition	`batch_69f657f653448190a945b4751af8507d`	completed	May 2, 2026, 8 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12134b8bec8190b8b64c2859905c73`	completed	May 23, 2026, 8:51 p.m.
NEDg	Description generation	`batch_6a1214624c8881908947a260cf471bac`	completed	May 23, 2026, 8:56 p.m.
NED2	Entity disambiguation (via description)	`batch_6a121524b1d08190bd50e97b29d278f2`	completed	May 23, 2026, 8:59 p.m.
PD	Predicate disambiguation	`batch_69f6575ba12081909396036f78757a76`	completed	May 2, 2026, 7:58 p.m.

Created at: April 27, 2026, 5:11 a.m.