Triple

T18153212

Position	Surface form	Disambiguated ID	Type / Status
Subject	Luca della Robbia	`E434559`	entity
Predicate	notableWork	`P4`	FINISHED
Object	Cantoria (Singing Gallery) for Florence Cathedral Cantoria (Singing Gallery) for Florence Cathedral is a celebrated early Renaissance marble choir loft renowned for its dynamic reliefs of singing and dancing children, created by sculptor Luca della Robbia for the interior of Florence Cathedral.	`E1309791`	NE FINISHED

How this triple was built (4 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: Cantoria (Singing Gallery) for Florence Cathedral | Statement: [Luca della Robbia, notableWork, Cantoria (Singing Gallery) for Florence Cathedral]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Cantoria (Singing Gallery) for Florence Cathedral
Context triple: [Luca della Robbia, notableWork, Cantoria (Singing Gallery) for Florence Cathedral]

A. Baptistery of San Giovanni
The Baptistery of San Giovanni is an octagonal, Romanesque-style religious building in Florence renowned for its ornate bronze doors and richly decorated interior.
B. Baptistery of San Giovanni in Siena
The Baptistery of San Giovanni in Siena is a Gothic-style religious building adjoining Siena Cathedral, renowned for its richly decorated interior and important Renaissance artworks, including its celebrated baptismal font.
C. Church of Santa Felicita, Florence
The Church of Santa Felicita in Florence is a historic Roman Catholic church renowned for its Mannerist artworks, including Jacopo da Pontormo’s celebrated frescoes in the Capponi Chapel.
D. Rucellai Chapel
The Rucellai Chapel is a Renaissance funerary chapel in Florence, Italy, closely associated with the prominent Rucellai family and noted for its architectural and artistic significance.
E. Giotto's Campanile
Giotto's Campanile is a richly decorated Gothic bell tower in Florence, Italy, renowned for its elegant design and intricate marble façade.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

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: Cantoria (Singing Gallery) for Florence Cathedral
Triple: [Luca della Robbia, notableWork, Cantoria (Singing Gallery) for Florence Cathedral]

Generated description

Cantoria (Singing Gallery) for Florence Cathedral is a celebrated early Renaissance marble choir loft renowned for its dynamic reliefs of singing and dancing children, created by sculptor Luca della Robbia for the interior of Florence Cathedral.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Cantoria (Singing Gallery) for Florence Cathedral
Target entity description: Cantoria (Singing Gallery) for Florence Cathedral is a celebrated early Renaissance marble choir loft renowned for its dynamic reliefs of singing and dancing children, created by sculptor Luca della Robbia for the interior of Florence Cathedral.

A. Baptistery of San Giovanni
The Baptistery of San Giovanni is an octagonal, Romanesque-style religious building in Florence renowned for its ornate bronze doors and richly decorated interior.
B. Baptistery of San Giovanni in Siena
The Baptistery of San Giovanni in Siena is a Gothic-style religious building adjoining Siena Cathedral, renowned for its richly decorated interior and important Renaissance artworks, including its celebrated baptismal font.
C. Church of Santa Felicita, Florence
The Church of Santa Felicita in Florence is a historic Roman Catholic church renowned for its Mannerist artworks, including Jacopo da Pontormo’s celebrated frescoes in the Capponi Chapel.
D. Rucellai Chapel
The Rucellai Chapel is a Renaissance funerary chapel in Florence, Italy, closely associated with the prominent Rucellai family and noted for its architectural and artistic significance.
E. Giotto's Campanile
Giotto's Campanile is a richly decorated Gothic bell tower in Florence, Italy, renowned for its elegant design and intricate marble façade.
F. None of above. chosen

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_69d8b90aac308190801e2c57d8c5bfe5`	completed	April 10, 2026, 8:47 a.m.
NER	Named-entity recognition	`batch_69e4de39a8f481908d1752767d0aae0e`	completed	April 19, 2026, 1:52 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a038fbb1f8c8190b20e10f22090a940`	completed	May 12, 2026, 8:38 p.m.
NEDg	Description generation	`batch_6a03911462d0819080d6a59fe3b120a1`	completed	May 12, 2026, 8:44 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0392a51df48190aab14218f28f129d`	completed	May 12, 2026, 8:50 p.m.

Created at: April 10, 2026, 10:30 a.m.