Triple

T37064239
Position Surface form Disambiguated ID Type / Status
Subject El Chicano E917399 entity
Predicate hasMember P10 FINISHED
Object Rudy Regalado
Rudy Regalado was a Venezuelan-born percussionist and bandleader best known for his influential role in the Latin rock and jazz scene, particularly through his work with the band El Chicano.
E2289614 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: Rudy Regalado | Statement: [El Chicano, hasMember, Rudy Regalado]
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: Rudy Regalado
Triple: [El Chicano, hasMember, Rudy Regalado]
Generated description
Rudy Regalado was a Venezuelan-born percussionist and bandleader best known for his influential role in the Latin rock and jazz scene, particularly through his work with the band El Chicano.

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_6a5b53d08f9c8190b47ce34abffc82ff completed July 18, 2026, 10:22 a.m.
NEDg Description generation batch_6a5b54727b048190b17ed32420bed132 completed July 18, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_6a5b581fa9c88190bbca6497e16df111 completed July 18, 2026, 10:40 a.m.
Created at: May 3, 2026, 4:14 p.m.