Triple

T26352594

Position	Surface form	Disambiguated ID	Type / Status
Subject	Seilern Triptych	`E662940`	entity
Predicate	school	`P27967`	FINISHED
Object	Tournai school The Tournai school was a group of late medieval painters and illuminators based in the city of Tournai, known for blending Franco-Flemish artistic traditions and influencing early Netherlandish art.	`E1721439`	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: Tournai school | Statement: [Seilern Triptych, school, Tournai school]

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: Tournai school
Triple: [Seilern Triptych, school, Tournai school]

Generated description

The Tournai school was a group of late medieval painters and illuminators based in the city of Tournai, known for blending Franco-Flemish artistic traditions and influencing early Netherlandish art.

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_69ee8130fc44819094e5ab1da201cd7b`	completed	April 26, 2026, 9:18 p.m.
NER	Named-entity recognition	`batch_69f60fece7d881909ef602630bd8da89`	completed	May 2, 2026, 2:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a119a6802b8819081befd99db49bfcd`	completed	May 23, 2026, 12:15 p.m.
NEDg	Description generation	`batch_6a119b150b7c81909265302179aef83e`	completed	May 23, 2026, 12:18 p.m.
NED2	Entity disambiguation (via description)	`batch_6a119c7d5eac8190ae6fbb97bf64b472`	completed	May 23, 2026, 12:24 p.m.

Created at: April 26, 2026, 10:46 p.m.