Triple

T28412945

Position	Surface form	Disambiguated ID	Type / Status
Subject	Manon	`E719717`	entity
Predicate	firstDesGrieuxPerformer	`P145418`	FINISHED
Object	Talazac Talazac was a notable French operatic tenor of the late 19th century, recognized for originating several important roles in the French repertoire.	`E1817241`	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: Talazac | Statement: [Manon, firstDesGrieuxPerformer, Talazac]

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: Talazac
Triple: [Manon, firstDesGrieuxPerformer, Talazac]

Generated description

Talazac was a notable French operatic tenor of the late 19th century, recognized for originating several important roles in the French repertoire.

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

Target predicate: firstDesGrieuxPerformer
Context triple: [Manon, firstDesGrieuxPerformer, Talazac]

A. firstPerformerPiano
Indicates that the referenced entity is the first (primary or earliest) performer on the piano in a given performance or musical context.
B. firstPerformerDiscipline
Indicates the artistic or athletic discipline in which the first performer is engaged.
C. originalPerformer
Indicates that an entity is the first or initial performer of a work, role, or performance.
D. performerOfPremiere chosen
Indicates that an entity is the performer who gave the first (premiere) performance of a work or event.
E. firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
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_69eff6f0f37c8190b37bc6fab08a9449`	completed	April 27, 2026, 11:53 p.m.
NER	Named-entity recognition	`batch_6a001540d4f881908a4688881875e774`	completed	May 10, 2026, 5:18 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a16331852fc81909baffca8b4f9ce62`	completed	May 26, 2026, 11:56 p.m.
NEDg	Description generation	`batch_6a1634c284bc8190a09d836655486dc7`	completed	May 27, 2026, 12:03 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1638ab3f5c8190be17ee9121039cd1`	completed	May 27, 2026, 12:19 a.m.
PD	Predicate disambiguation	`batch_6a0014a8cdd88190a67a90a2df2c5e18`	completed	May 10, 2026, 5:16 a.m.

Created at: April 28, 2026, 1:28 a.m.