Triple

T22011313
Position Surface form Disambiguated ID Type / Status
Subject Cremonese school of violin making E543579 entity
Predicate hasNotableMember P304 FINISHED
Object Vincenzo Rugeri
Vincenzo Rugeri was an Italian luthier of the late 17th and early 18th centuries, renowned for crafting high-quality violins in the Cremonese tradition.
E2111457 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: Vincenzo Rugeri | Statement: [Cremonese school of violin making, hasNotableMember, Vincenzo Rugeri]
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: Vincenzo Rugeri
Triple: [Cremonese school of violin making, hasNotableMember, Vincenzo Rugeri]
Generated description
Vincenzo Rugeri was an Italian luthier of the late 17th and early 18th centuries, renowned for crafting high-quality violins in the Cremonese tradition.

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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a520bc8190865f525a87255fb2 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37660ababc8190b81679d34aa60088 completed June 21, 2026, 4:18 a.m.
NEDg Description generation batch_6a3768b4557c8190b6c4b370726e5b50 completed June 21, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a376918bbb8819081ac8dee61a027f2 completed June 21, 2026, 4:31 a.m.
Created at: April 16, 2026, 8:22 p.m.