Triple

T37064320
Position Surface form Disambiguated ID Type / Status
Subject Los Lonely Boys E917401 entity
Predicate hasMember P10 FINISHED
Object Jojo Garza
Jojo Garza is an American bassist and vocalist best known as a member of the Texan rock band Los Lonely Boys, which blends rock, blues, and Tex-Mex influences.
E2213236 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: Jojo Garza | Statement: [Los Lonely Boys, hasMember, Jojo Garza]
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: Jojo Garza
Triple: [Los Lonely Boys, hasMember, Jojo Garza]
Generated description
Jojo Garza is an American bassist and vocalist best known as a member of the Texan rock band Los Lonely Boys, which blends rock, blues, and Tex-Mex influences.

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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb2f8eeb388190afdc8cfd2cc3e5a6 completed May 6, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3efdba8da88190adc2fcd55be49c12 completed June 26, 2026, 10:31 p.m.
NEDg Description generation batch_6a3f4ec12e088190a4c5c53493e13826 completed June 27, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3f4f1cfa208190bd07ab6aee82fa6c completed June 27, 2026, 4:18 a.m.
Created at: May 3, 2026, 4:14 p.m.