Triple

T26525280
Position Surface form Disambiguated ID Type / Status
Subject National College of Art and Design E670670 entity
Predicate foundedBy P104 FINISHED
Object Metropolitan School of Art
The Metropolitan School of Art was a Dublin-based art institution that became a key predecessor to Ireland’s National College of Art and Design.
E1730085 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: Metropolitan School of Art | Statement: [National College of Art and Design, foundedBy, Metropolitan School of Art]
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: Metropolitan School of Art
Triple: [National College of Art and Design, foundedBy, Metropolitan School of Art]
Generated description
The Metropolitan School of Art was a Dublin-based art institution that became a key predecessor to Ireland’s National College of Art and Design.

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_69eeb31ea1e08190b9ff43cf9bc25bf8 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613c5626c8190bdb3c0263f911847 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb4773e881909bf95ec644c95bd8 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be62602081909cac24dd194530b4 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bee7bd508190a8d6a18cf0a238a1 completed May 23, 2026, 2:51 p.m.
Created at: April 27, 2026, 1:31 a.m.