Triple

T27824501
Position Surface form Disambiguated ID Type / Status
Subject Dino Saluzzi E702912 entity
Predicate associatedAct P37 FINISHED
Object José Maria Saluzzi
José Maria Saluzzi is an Argentine guitarist and composer known for his collaborations in jazz and contemporary music, often working alongside his father, bandoneonist Dino Saluzzi.
E1812770 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: José Maria Saluzzi | Statement: [Dino Saluzzi, associatedAct, José Maria Saluzzi]
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: José Maria Saluzzi
Triple: [Dino Saluzzi, associatedAct, José Maria Saluzzi]
Generated description
José Maria Saluzzi is an Argentine guitarist and composer known for his collaborations in jazz and contemporary music, often working alongside his father, bandoneonist Dino Saluzzi.

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_69ef840ad1e88190b5bff2d1ddec8700 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f63894e5848190aec428392562ab06 completed May 2, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a162789c09c8190bf8922b98801cd2f completed May 26, 2026, 11:06 p.m.
NEDg Description generation batch_6a162820ebf88190b9a82a1e75934a8a completed May 26, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_6a1628980cf481909f94f55aa0367018 completed May 26, 2026, 11:11 p.m.
Created at: April 27, 2026, 5:50 p.m.