Triple

T24926207
Position Surface form Disambiguated ID Type / Status
Subject Somethin' Else Records E618863 entity
Predicate notableArtist P601 FINISHED
Object Sadao Watanabe
Sadao Watanabe is a renowned Japanese jazz saxophonist and composer known for blending bebop, bossa nova, and traditional Japanese influences in his music.
E1988593 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: Sadao Watanabe | Statement: [Somethin' Else Records, notableArtist, Sadao Watanabe]
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: Sadao Watanabe
Triple: [Somethin' Else Records, notableArtist, Sadao Watanabe]
Generated description
Sadao Watanabe is a renowned Japanese jazz saxophonist and composer known for blending bebop, bossa nova, and traditional Japanese influences in his music.

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_69e2fab9edd88190b86004a78a28bc20 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423afd1ec8190a7660bc5174f49db completed May 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ed4bccf5c81909337842e7249f2af completed June 14, 2026, 4:20 p.m.
NEDg Description generation batch_6a2ed5c07e34819098385a0d7a928fa4 completed June 14, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_6a2ed7379d088190b7481d5c7eb61b9f completed June 14, 2026, 4:30 p.m.
Created at: April 18, 2026, 5:29 a.m.