Triple

T27281185
Position Surface form Disambiguated ID Type / Status
Subject Brescian school of lutherie E688335 entity
Predicate notableLuthier P200880 FINISHED
Object Giovanni Paolo Maggini
Giovanni Paolo Maggini was a renowned early 17th-century Italian violin maker from Brescia, celebrated for his richly toned instruments and distinctive double-purfling designs.
E1784541 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: Giovanni Paolo Maggini | Statement: [Brescian school of lutherie, notableLuthier, Giovanni Paolo Maggini]
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: Giovanni Paolo Maggini
Triple: [Brescian school of lutherie, notableLuthier, Giovanni Paolo Maggini]
Generated description
Giovanni Paolo Maggini was a renowned early 17th-century Italian violin maker from Brescia, celebrated for his richly toned instruments and distinctive double-purfling designs.

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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69ffb7bd97688190a354e0ef7eae103c completed May 9, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da6b0288819089e4b2a425670b4b completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12ddd102ac8190838e6ee34ebbf295 completed May 24, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_6a12de788ac081908ee34621742eeef5 completed May 24, 2026, 11:18 a.m.
Created at: April 27, 2026, 11:07 a.m.