Triple

T33293570
Position Surface form Disambiguated ID Type / Status
Subject The Rippingtons E852379 entity
Predicate hasFormerMember P1168 FINISHED
Object Jeff Kashiwa
Jeff Kashiwa is an American contemporary jazz saxophonist known for his work in smooth jazz both as a solo artist and as a longtime member of prominent jazz ensembles.
E2047312 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: Jeff Kashiwa | Statement: [The Rippingtons, hasFormerMember, Jeff Kashiwa]
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: Jeff Kashiwa
Triple: [The Rippingtons, hasFormerMember, Jeff Kashiwa]
Generated description
Jeff Kashiwa is an American contemporary jazz saxophonist known for his work in smooth jazz both as a solo artist and as a longtime member of prominent jazz ensembles.

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_69f349660ff48190a4568803d0b89941 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6de91badc8190a9a978ff93cb408b completed May 3, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3551f6d04881908c952d0db4763a4c completed June 19, 2026, 2:28 p.m.
NEDg Description generation batch_6a35552396cc8190b55e7b70a7b5751b completed June 19, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_6a3555d85d7c8190bdac94215380ab94 completed June 19, 2026, 2:44 p.m.
Created at: May 1, 2026, 1:33 a.m.