Triple

T30935620
Position Surface form Disambiguated ID Type / Status
Subject The James Brown Band E788114 entity
Predicate hasNotableMember P304 FINISHED
Object Jimmy Nolen
Jimmy Nolen was an American guitarist best known for pioneering the percussive "chicken scratch" funk guitar style that became a defining element of James Brown’s sound.
E1966505 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: Jimmy Nolen | Statement: [The James Brown Band, hasNotableMember, Jimmy Nolen]
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: Jimmy Nolen
Triple: [The James Brown Band, hasNotableMember, Jimmy Nolen]
Generated description
Jimmy Nolen was an American guitarist best known for pioneering the percussive "chicken scratch" funk guitar style that became a defining element of James Brown’s sound.

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_69f224c0b7fc819090cb89df60d23653 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692e442e4819084cbd7e63cc420d4 completed May 3, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d5cfd4c819080bcf8fce6471313 completed June 11, 2026, 9:49 p.m.
NEDg Description generation batch_6a2b2ddd57c48190a1a84971148c9a8a completed June 11, 2026, 9:51 p.m.
NED2 Entity disambiguation (via description) batch_6a2b2e4cb6808190b20640e6279bd56a completed June 11, 2026, 9:53 p.m.
Created at: April 29, 2026, 8:52 p.m.