Triple

T20015092
Position Surface form Disambiguated ID Type / Status
Subject Romanza E494695 entity
Predicate producer P490 FINISHED
Object Giuseppe Vessicchio
Giuseppe Vessicchio is an Italian composer, arranger, and conductor best known for his long-standing work on the Sanremo Music Festival and collaborations with prominent Italian pop artists.
E2283192 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: Giuseppe Vessicchio | Statement: [Romanza, producer, Giuseppe Vessicchio]
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: Giuseppe Vessicchio
Triple: [Romanza, producer, Giuseppe Vessicchio]
Generated description
Giuseppe Vessicchio is an Italian composer, arranger, and conductor best known for his long-standing work on the Sanremo Music Festival and collaborations with prominent Italian pop artists.

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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623bba1881908440c92f08729ec1 completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a42458aae7c8190bc0e52176a4f6157 completed June 29, 2026, 10:14 a.m.
NEDg Description generation batch_6a42464ca16481908e1995aad6db4aaf completed June 29, 2026, 10:17 a.m.
NED2 Entity disambiguation (via description) batch_6a4246ecd70081908fc2cb7db04210b1 completed June 29, 2026, 10:20 a.m.
Created at: April 11, 2026, 3:34 p.m.